FUSION 2022: 25TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION 2022)

This page contains an index consisting of author-provided keywords.

3
360-degree coverage	A Circular Detection Driven Adaptive Birth Density for Multi-Object Tracking with Sets of Trajectories
3D assignment	Planar 3D Assignment For Sensor Resource Allocation
3D Extended Object Tracking (EOT)	Extent Estimation of Sailing Boats Applying Elliptic Cones to 3D LiDAR Data
5
5G mmWave positioning system	Experimental Validation of Single Base Station 5G mmWave Positioning: Initial Findings
6
6D-IMU	RNN-based Observability Analysis for Magnetometer-Free Sparse Inertial Motion Tracking
A
accelerometers	VQF: A Milestone in Accuracy and Versatility of 6D and 9D Inertial Orientation Estimation
Accumulated State Densities	Accumulated State Densities Filter for Better Separability of Group-Targets
accuracy	Accuracy Study on Target Localization Using Acoustic Bearing Measurements Including Urban Reflections
Ackermann Steering	Visual-Inertial Odometry aided by Speed and Steering Angle Measurements
acoustic	Accuracy Study on Target Localization Using Acoustic Bearing Measurements Including Urban Reflections
acoustic vector sensor	Passive Sensor Fusion and Tracking in Underwater Surveillance with the GLMB model
Adaptive birth	A comparison between PMBM Bayesian track initialisation and labelled RFS adaptive birth
adaptive birth density	A Circular Detection Driven Adaptive Birth Density for Multi-Object Tracking with Sets of Trajectories
Adaptive filtering	Bayesian Sensor Fusion of GNSS and Camera With Outlier Adaptation for Vehicle Positioning
Adaptive Interacting Multiple Model	A Two-stage Transition Correction Function for Adaptive Markov Matrix in IMM Algorithm
Adaptive Scale	Multi-Frame Track-Before-Detect for Scalable Extended Target Tracking
ADMM	Gaussian Process Regression with Grid Spectral Mixture Kernel: Distributed Learning for Multidimensional Data
Adversarial Inverse Reinforcement Learning	Meta-Cognition. An Inverse-Inverse Reinforcement Learning Approach for Cognitive Radars
Aerial Data Fusion	A Joint Multiple Hypothesis Tracking and Particle Filter Approach for Aerial Data Fusion
aggregation	Aggregating Ordinal Confidences
amplitude information	The PHD Filter for Target Swarms and Its Gaussian Mixture Implementation
analytic combinatorics	On Particle Filters with High Complexity Combinatorial Likelihood Functions
angle-only sensor	Sensor Fusion and Optimal Platform Trajectory Planning for Ground Target Localization with Terrain Uncertainty and Measurement Biases
Anomaly Detection	Self-Assessment and Robust Anomaly Detection with Bayesian Deep Learning
approximate inference	A Look at Improving Robustness in Visual-inertial SLAM by Moment Matching
Approximation error	Density Approximation Error Assessment and Compensation in Point-Mass Filter
Array signal processing	An Integrated Localization Method for Mixed Near-Field and Far-Field Sources Based on Mixed-order Statistic
Artificial Intelligence	Machine Learning and ADHD Mental Health Detection - A Short Survey
artiticially intelligence	Elements of an Ethical AI Demonstrator for Responsibly Designing Defence Systems
Assignment	On Particle Filters with High Complexity Combinatorial Likelihood Functions
Asynchronous fusion	Asynchronous Multi-Radar Tracking Fusion with Converted Measurements
Attention Deficit Hyperactivity Disorder	Machine Learning and ADHD Mental Health Detection - A Short Survey
attention Model	Fusion of Sentiment and Asset Price Predictions for Portfolio Optimization
attitude control	VQF: A Milestone in Accuracy and Versatility of 6D and 9D Inertial Orientation Estimation
attitude estimation	VQF: A Milestone in Accuracy and Versatility of 6D and 9D Inertial Orientation Estimation
audio-visual data	Deep Learning for Audio Visual Emotion Recognition
Auditory attention decoder	Electrodes selection for cortical auditory attention decoding with EEG during speech and music listening
augmented reality	Robot Joint Tracking With Mobile Depth Cameras for Augmented Reality Applications
Auto-regressive models	Recursive Joint Cramér-Rao Lower Bound for Nonlinear Parametric Systems with Colored Noise
Autoencoders	Drone Ego-Noise Cancellation for Improved Speech Capture using Deep Denoising Autoencoder Assisted Multistage Beamforming Multimodal feature fusion for concreteness estimation
automated driving	Real-time Seamless Image Stitching in Autonomous Driving
Automated paraphrasing	Paraphrasing Techniques for Maritime QA system
automation	Elements of an Ethical AI Demonstrator for Responsibly Designing Defence Systems
automotive sensor fusion	Bayesian Sensor Fusion of GNSS and Camera With Outlier Adaptation for Vehicle Positioning
Autonomous Driving	Real-time Seamless Image Stitching in Autonomous Driving Visual-Inertial Odometry aided by Speed and Steering Angle Measurements
Autonomous landing	Error reduction in autonomous multirotor vision-based landing system with helipad context
Autonomous Systems	Real-time localization for mobile machines by fusing barometric altitude measurements with surface profiles
autonomous vehicles	Real-time Seamless Image Stitching in Autonomous Driving
Average consensus	Communication-Efficient and Privacy-Aware Distributed LMS Algorithm
Azimuth	Association and Fusion of Range-Azimuth Tracks
B
base station localization	Experimental Validation of Single Base Station 5G mmWave Positioning: Initial Findings
Bayes fusion	A Comparison of Correlation-Agnostic Techniques for Magnetic Navigation
Bayes Parallel Combination Rule	Notes on the Product Multi-Sensor Generalized Labeled Multi-Bernoulli Filter and its Implementation
Bayesian Deep Learning	Self-Assessment and Robust Anomaly Detection with Bayesian Deep Learning
Bayesian Filtering	Extended Target Tracking with Constrained PMHT CNN-based Shape Estimation for Extended Object Tracking using Point Cloud Measurements Notes on the Product Multi-Sensor Generalized Labeled Multi-Bernoulli Filter and its Implementation Track-to-Track Fusion for Elliptical Extended Targets Parameterized with Orientation and Semi-Axes Lengths
Bayesian Inference	SOLBP: Second-Order Loopy Belief Propagation for Inference in Uncertain Bayesian Networks
Bayesian learning	Fast optimize-and-sample method for differentiable Galerkin approximations of multi-layered Gaussian process priors
Bayesian Networks	SOLBP: Second-Order Loopy Belief Propagation for Inference in Uncertain Bayesian Networks Continuous Model Evaluation and Adaptation to Distribution Shifts: A Probabilistic Self-Supervised Approach
beamformer	Drone Ego-Noise Cancellation for Improved Speech Capture using Deep Denoising Autoencoder Assisted Multistage Beamforming
bearings-only localization	Accuracy Study on Target Localization Using Acoustic Bearing Measurements Including Urban Reflections
belief functions	Reasoning with conceptual graphs and evidential networks for multi-entity maritime threat assessment An Effective Measure of Uncertainty of Basic Belief Assignments
Belief propagation	Neural Enhanced Belief Propagation for Data Assocation in Multiobject Tracking SOLBP: Second-Order Loopy Belief Propagation for Inference in Uncertain Bayesian Networks
Belief-space planning	LiDAR-Landmark Modeling for Belief-Space Planning using Aerial Forest Data
Bellhop modelling	Poisson multi-Bernoulli mixture filtering with an active sonar using BELLHOP simulation
BERT	Multimodal feature fusion for concreteness estimation
bias estimation	Sensor Fusion and Optimal Platform Trajectory Planning for Ground Target Localization with Terrain Uncertainty and Measurement Biases
BIometrics	Residual Colour Scale-Space Gradients for Reference-based Face Morphing Attack Detection
BLUE fuser	Estimation Fusion Based on a Simplified Model for the Cross-Covariance of Local Estimation Errors
body sensor networks	Towards Inertial Human Motion Tracking with Drift-Free Absolute Orientations using only Sparse Sources of Heading Information
bouldering	Event-Domain Knowledge in Inertial Sensor Based State Estimation of Human Motion
bounds estimation	A Geometric Approach to Passive Localisation
branch and bound	Planar 3D Assignment For Sensor Resource Allocation
bundle adjustment	Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning
C
calibration	Analysis of Multiple Positions for the Intrinsic and Extrinsic Calibration of a Multi-Beam LiDAR
camera calibration	Camera Calibration with Unknown Time Offset between the Camera and Drone GPS Systems Intrinsic and Extrinsic Calibration Method for a Trinocular Multimodal Camera Setup
camera fusion	Real-time Seamless Image Stitching in Autonomous Driving
Carbon Dioxide (CO2)	Sensor Fusion for Detection and Localization of Carbon Dioxide Releases for Industry 4.0
cascaded learning	Privacy Preserving Multi-class Fall Classification Based on Cascaded Learning And Noisy Labels Handling
Cauchy integral	On Particle Filters with High Complexity Combinatorial Likelihood Functions
cepstrum	Passive Sensor Fusion and Tracking in Underwater Surveillance with the GLMB model
Circuit Knitting	Quantum Kernel Based Data Fusion
Circular Sampling	Deterministic Sampling on the Circle Using Projected Cumulative Distributions
Classification	On the Theoretical Convergence and Error Sensitivity Analysis of Yayambo for Fusion of Probabilistic Classifier Outputs Detection of outliers in classification by using quantified uncertainty in neural networks
classifier	Classification and Fusion of Two Disparate Data Streams and Nuclear Dissolutions Application
Classifier fusion	On the Theoretical Convergence and Error Sensitivity Analysis of Yayambo for Fusion of Probabilistic Classifier Outputs
Classifiers fusion	Evidential Decision Fusion of Deep Neural Networks for Covid Diagnosis
CLIP	Multimodal feature fusion for concreteness estimation Fusion of sentence embeddings for news retrieval
Cluster Management	Hypothesis Exploration in Multiple Hypothesis Tracking with Multiple Clusters
cognitive and volitve assistance	Elements of an Ethical AI Demonstrator for Responsibly Designing Defence Systems
Cognitive Radar	Meta-Cognition. An Inverse-Inverse Reinforcement Learning Approach for Cognitive Radars
colocated MIMO radar network	Joint Detection Threshold Optimization and Transmit Resource Allocation for Targets Tracking in Clutter with Colocated MIMO Radar Networks
Color Spaces	Combined Road Tracking for Paved Roads and Dirt Roads: LiDAR Measurements and Image Color Modes
Colored noise	Recursive Joint Cramér-Rao Lower Bound for Nonlinear Parametric Systems with Colored Noise
Communication constraints	Optimal Linear Fusion of Dimension-Reduced Estimates Using Eigenvalue Optimization
Comparison of SLAM	Evaluation and comparison of eight popular Lidar and Visual SLAM algorithms
complementary filter	VQF: A Milestone in Accuracy and Versatility of 6D and 9D Inertial Orientation Estimation
complex states	Ontology for Multi-Level Data Fusion
Computer Vision	Combined Road Tracking for Paved Roads and Dirt Roads: LiDAR Measurements and Image Color Modes
conceptual graphs	Reasoning with conceptual graphs and evidential networks for multi-entity maritime threat assessment
Concreteness estimation	Multimodal feature fusion for concreteness estimation
condition number	On the Role of the Diffusion Matrix in Stiffness Mitigation for Stochastic Particle Flow Filters
conditional kernels	Intention-Aware Motion Modeling Using GP Priors With Conditional Kernels
confidence	Aggregating Ordinal Confidences
confident learning	Privacy Preserving Multi-class Fall Classification Based on Cascaded Learning And Noisy Labels Handling
Consensus theory	On the Theoretical Convergence and Error Sensitivity Analysis of Yayambo for Fusion of Probabilistic Classifier Outputs
Consistency	Decentralized Collaborative Localization with Map Update using Schmidt-Kalman Filter
Constant velocity model	Marginalized Particle Filters for Constant Velocity Models
Context based tracking	Particle-balanced context-based filtering for hypothesis maintenance in sparse sensor coverage situations
context exploitation	Robustness in Multiple-Hypothesis Tracking
Continuous Discrete Filtering and Smoothing	Continuous-Discrete Filtering and Smoothing on Submanifolds of Euclidean Space
Convergence of algorithms	On the Theoretical Convergence and Error Sensitivity Analysis of Yayambo for Fusion of Probabilistic Classifier Outputs
convex optimization	LPI-Based Joint Node Selection and Power Allocation Strategy for Target Tracking in Distributed MIMO Radar
Convolutional Neural Networks	CNN-based Shape Estimation for Extended Object Tracking using Point Cloud Measurements Deep Learning for Audio Visual Emotion Recognition
cooperative jamming	Robust Jamming Resource Allocation for Cooperatively Suppressing Multi-station Radar Systems in Multi-jammer Systems
cooperative lidar	Addressing data association by message passing over graph neural networks
cooperative localization	Fault tolerant cooperative localization using diagnosis based on Jensen Shannon divergence Addressing data association by message passing over graph neural networks
cooperative positioning	Cooperative Heading Estimation with von Mises-Fisher Distribution and Particle Filtering
coordinate ascent variational inference	A Variational Bayes Association-based Multi-object Tracker under the Non-homogeneous Poisson Measurement Process
coordinate systems	Coordinates and Conversions for Surface-Wave Radar
Correlation agnostic fusion	A Comparison of Correlation-Agnostic Techniques for Magnetic Navigation
correlation measure	Estimation Fusion Based on a Simplified Model for the Cross-Covariance of Local Estimation Errors
Covariance intersection	A Comparison of Correlation-Agnostic Techniques for Magnetic Navigation Linear Fusion with Element-Wise Knowledge
Covariance matrix	Efficient Factorisation-based Gaussian Process Approaches for Online Tracking
Covid diagnosis	Evidential Decision Fusion of Deep Neural Networks for Covid Diagnosis
Cramer Rao bound	On the effective action and the Cramer Rao bound for multi-target tracking parameters
Cramer's rate function	On the effective action and the Cramer Rao bound for multi-target tracking parameters
Cramer-Rao Lower Bound	Coordinates and Conversions for Surface-Wave Radar
Cramér-Rao bound	Accuracy Study on Target Localization Using Acoustic Bearing Measurements Including Urban Reflections
CRLB	Sensor Fusion and Optimal Platform Trajectory Planning for Ground Target Localization with Terrain Uncertainty and Measurement Biases Coordinates and Conversions for Surface-Wave Radar
cross-correlation approximation	Estimation Fusion Based on a Simplified Model for the Cross-Covariance of Local Estimation Errors
CT imaging	Mathematical morphology on directional data
cubature rule	Gaussian Approximation Filter Based on Divergence Minimization for Nonlinear Dynamic Systems
D
data association	A Fast Poisson Multi-Bernoulli Filter for Multi-Object Tracking A Variational Bayes Association-based Multi-object Tracker under the Non-homogeneous Poisson Measurement Process Message passing multitarget tracking with out-of-sequence measurements Addressing data association by message passing over graph neural networks PFET: Multi-Vehicle Tracking with Pseudo-Feature Embeddings for Traffic Video Surveillance Hypothesis Exploration in Multiple Hypothesis Tracking with Multiple Clusters
Data compression	On the Use of Multi-correlator Values as Sufficient Statistics as Basis for Flexible Ultra-tight GNSS/INS Integration Developments
data fusion	Fault tolerant cooperative localization using diagnosis based on Jensen Shannon divergence Analysis of Multiple Positions for the Intrinsic and Extrinsic Calibration of a Multi-Beam LiDAR Quantum Kernel Based Data Fusion Data Fusion for Radio Frequency SLAM with Robust Sampling Accuracy Study on Target Localization Using Acoustic Bearing Measurements Including Urban Reflections Data fusion strategies for improving resilience to sensor noise in cable-stayed tower monitoring
DBSCAN	Accumulated State Densities Filter for Better Separability of Group-Targets
Decentralized architecture	Decentralized Collaborative Localization with Map Update using Schmidt-Kalman Filter
Decision fusion	Evidential Decision Fusion of Deep Neural Networks for Covid Diagnosis Sensor Fusion for Detection and Localization of Carbon Dioxide Releases for Industry 4.0
Decision support systems	Tackling Threatening behavior through a Semantic Approach
deep homography	Thermal and Visible Deep Homography Fusion
deep learning	Evidential Decision Fusion of Deep Neural Networks for Covid Diagnosis Thermal and Visible Deep Homography Fusion RNN-based Observability Analysis for Magnetometer-Free Sparse Inertial Motion Tracking Deep Learning for Audio Visual Emotion Recognition Deep Learning For Online Time Series Trend Prediction Unsupervised dynamic modeling of medical image transformations
Dempster-Shafer Theory	Evidential Decision Fusion of Deep Neural Networks for Covid Diagnosis
Density Approximation	Density Approximation Error Assessment and Compensation in Point-Mass Filter Deterministic Sampling on the Circle Using Projected Cumulative Distributions
density reapproximation	Dirac Mixture Reduction Using Wasserstein Distances on Projected Cumulative Distributions
depth function	Mathematical morphology on directional data
Detection	Sensor Fusion for Detection and Localization of Carbon Dioxide Releases for Industry 4.0
detection threshold optimization	Joint Detection Threshold Optimization and Transmit Resource Allocation for Targets Tracking in Clutter with Colocated MIMO Radar Networks
Deterministic Samples	On the Observability of Gaussian Models using Discrete Density Approximations
deterministic sampling	Rejection Sampling from Arbitrary Multivariate Distributions Using Generalized Fibonacci Lattices Deterministic Gaussian Filtering based on Herding Dirac Mixture Reduction Using Wasserstein Distances on Projected Cumulative Distributions Deterministic Sampling on the Circle Using Projected Cumulative Distributions
Diagnosis	Fault tolerant cooperative localization using diagnosis based on Jensen Shannon divergence
Differentiable particle filter	Inference of Stochastic Disease Transmission Models Using Particle-MCMC and a Gradient Based Proposal
Differential Drive Model	Visual-Inertial Odometry aided by Speed and Steering Angle Measurements
Dimension-reduced estimates	Optimal Linear Fusion of Dimension-Reduced Estimates Using Eigenvalue Optimization
Dimensionality Reduction	Multimodal feature fusion for concreteness estimation
Dirac Mixture Approximation	Rejection Sampling from Arbitrary Multivariate Distributions Using Generalized Fibonacci Lattices Deterministic Sampling on the Circle Using Projected Cumulative Distributions
Dirac mixtures	Dirac Mixture Reduction Using Wasserstein Distances on Projected Cumulative Distributions
direct wave	Accuracy Study on Target Localization Using Acoustic Bearing Measurements Including Urban Reflections
Directional Estimation	Deterministic Sampling on the Circle Using Projected Cumulative Distributions
Directional Sampling	Deterministic Sampling on the Circle Using Projected Cumulative Distributions
Directional Statistics	Circular Discrete Reapproximation Continuous-Discrete Filtering and Smoothing on Submanifolds of Euclidean Space
Dirichlet Process	Automated Movement Detection with Dirichlet Process Mixture Models and Electromyography
Dirt Roads	Combined Road Tracking for Paved Roads and Dirt Roads: LiDAR Measurements and Image Color Modes
Discretization	Marginalized Particle Filters for Constant Velocity Models
dissolutions	Classification and Fusion of Two Disparate Data Streams and Nuclear Dissolutions Application
Distributed acoustic sensing (DAS)	A vehicle detector based on notched power for distributed acoustic sensing
distributed estimation	Linear Fusion with Element-Wise Knowledge
Distributed estimation fusion	Estimation Fusion Based on a Simplified Model for the Cross-Covariance of Local Estimation Errors
distributed Learning	Communication-Efficient and Privacy-Aware Distributed LMS Algorithm Gaussian Process Regression with Grid Spectral Mixture Kernel: Distributed Learning for Multidimensional Data
distributed MIMO radar systems	LPI-Based Joint Node Selection and Power Allocation Strategy for Target Tracking in Distributed MIMO Radar
distributed tracking	A Learning Distributed Gaussian Process Approach for Target Tracking over Sensor Networks Robustness in Multiple-Hypothesis Tracking
distribution shift	Continuous Model Evaluation and Adaptation to Distribution Shifts: A Probabilistic Self-Supervised Approach
Distributional Shift	Self-Assessment and Robust Anomaly Detection with Bayesian Deep Learning
DoA Estimation	Linearized Direction of Arrival
drift reduction	VQF: A Milestone in Accuracy and Versatility of 6D and 9D Inertial Orientation Estimation
Drone	Drone Ego-Noise Cancellation for Improved Speech Capture using Deep Denoising Autoencoder Assisted Multistage Beamforming
Drones	Lessons Learned in The Development of Quantitative Operator Situational Awareness Assessment Methods for Small-Scale Unmanned Aircraft Systems
Dynamic system	Unsupervised dynamic modeling of medical image transformations
E
Edge Computing (EC)	UAV-enabled Edge Computing for Optimal Task Distribution in Target Tracking
ego-noise reduction	Drone Ego-Noise Cancellation for Improved Speech Capture using Deep Denoising Autoencoder Assisted Multistage Beamforming
Eigenvalue optimization	Optimal Linear Fusion of Dimension-Reduced Estimates Using Eigenvalue Optimization
EKFNet	Uncertainty Aware EKF: a Tracking Filter Learning LiDAR Measurement Uncertainty
Electrodes reduction	Electrodes selection for cortical auditory attention decoding with EEG during speech and music listening
Electroencephalogram	Electrodes selection for cortical auditory attention decoding with EEG during speech and music listening
Electronic Counter Countermeasures	Meta-Cognition. An Inverse-Inverse Reinforcement Learning Approach for Cognitive Radars
Ellipsoidal calculus	Robust Iterative Learning Observers Based on a Combination of Stochastic Estimation Schemes and Ellipsoidal Calculus
Elliptic Cone	Extent Estimation of Sailing Boats Applying Elliptic Cones to 3D LiDAR Data
ELMo	Multimodal feature fusion for concreteness estimation
emotion recognition	Deep Learning for Audio Visual Emotion Recognition
Energy-efficiency	Communication-Efficient and Privacy-Aware Distributed LMS Algorithm
Envelope tracking	Electrodes selection for cortical auditory attention decoding with EEG during speech and music listening
epidemics	Inference of Stochastic Disease Transmission Models Using Particle-MCMC and a Gradient Based Proposal
Epistemology	Ontology for Multi-Level Data Fusion
Error source analysis	Systematic Error Source Analysis of a Real-World Multi-Camera Traffic Surveillance System
error state Kalman filter	A Tightly-Integrated Magnetic-Field aided Inertial Navigation System
estimation	Robot Joint Tracking With Mobile Depth Cameras for Augmented Reality Applications
ethically-alliged systems engineering	Elements of an Ethical AI Demonstrator for Responsibly Designing Defence Systems
Evaluation of SLAM	Evaluation and comparison of eight popular Lidar and Visual SLAM algorithms
event estimation	Ontology for Multi-Level Data Fusion
Event-based estimation	Event-Based Kalman Filtering Exploiting Correlated Trigger Information
event-domain knowledge	Event-Domain Knowledge in Inertial Sensor Based State Estimation of Human Motion
Evidential Grid Mapping	Sensor Data Fusion in Top-view Grid Maps using Evidential Reasoning with Advanced Conflict Resolution
experiments	Experimental Validation of Single Base Station 5G mmWave Positioning: Initial Findings
Extended Information Filter (EIF)	LiDAR-Landmark Modeling for Belief-Space Planning using Aerial Forest Data
Extended Kalman Filter	Uncertainty Aware EKF: a Tracking Filter Learning LiDAR Measurement Uncertainty
Extended Object Tracking	CNN-based Shape Estimation for Extended Object Tracking using Point Cloud Measurements Robot Joint Tracking With Mobile Depth Cameras for Augmented Reality Applications Track-to-Track Fusion for Elliptical Extended Targets Parameterized with Orientation and Semi-Axes Lengths
Extended Target Tracking	Extended Target Tracking with Constrained PMHT Multi-Frame Track-Before-Detect for Scalable Extended Target Tracking Extended Target Tracking with a Particle Filter Using State Dependent Target Measurement Models An Improved B-spline Extended Object Tracking Model using the Iterative Closest Point Method
extrinsic calibration	Intrinsic and Extrinsic Calibration Method for a Trinocular Multimodal Camera Setup
F
Face recognition	Residual Colour Scale-Space Gradients for Reference-based Face Morphing Attack Detection
Factor graph	Neural Enhanced Belief Propagation for Data Assocation in Multiobject Tracking
factor graphs	Data Fusion for Radio Frequency SLAM with Robust Sampling
Factorisation	Efficient Factorisation-based Gaussian Process Approaches for Online Tracking
fall detection	Privacy Preserving Multi-class Fall Classification Based on Cascaded Learning And Noisy Labels Handling
Fault detection and exclusion	Fault tolerant cooperative localization using diagnosis based on Jensen Shannon divergence
Feature Fusion	Multimodal feature fusion for concreteness estimation
filtering	Desensitized Extended Kalman Filter with Stochastic Approach to Sensitivity Reduction and Adaptive Weights Error reduction in autonomous multirotor vision-based landing system with helipad context Mathematical morphology on directional data An Improved B-spline Extended Object Tracking Model using the Iterative Closest Point Method
finite impulse response filter	Event-Based Kalman Filtering Exploiting Correlated Trigger Information
first order Gauss-Markov	A Comparison of Correlation-Agnostic Techniques for Magnetic Navigation
Fixed-interval smoothing	On the Fixed-Interval Smoothing for Jump Markov Nonlinear Systems
Fixed-lag smoother	Posterior linearisation filter for non-linear state transformation noises
functional tensor decomposition	Efficient Implementation of Marginal Particle Filter by Functional Density Decomposition
fuser	Classification and Fusion of Two Disparate Data Streams and Nuclear Dissolutions Application
Fusion	Fusion of Sentiment and Asset Price Predictions for Portfolio Optimization Hybrid Deep RePReL: Integrating Relational Planning and Reinforcement Learning for Information Fusion
fuzzy integral	Aggregating Ordinal Confidences
G
Galerkin approximations	Fast optimize-and-sample method for differentiable Galerkin approximations of multi-layered Gaussian process priors
Gamma distribution	An Optimal Transport Perspective on Gamma Gaussian Inverse-Wishart Mixture Reduction
Gaussian approximation	Gaussian Approximation Filter Based on Divergence Minimization for Nonlinear Dynamic Systems
Gaussian distribution	An Optimal Transport Perspective on Gamma Gaussian Inverse-Wishart Mixture Reduction
Gaussian filter	Deterministic Gaussian Filtering based on Herding
Gaussian filtering	On the Fixed-Interval Smoothing for Jump Markov Nonlinear Systems Hybrid Neural Network Augmented Physics-based Models for Nonlinear Filtering
Gaussian mixture model	Automated Movement Detection with Dirichlet Process Mixture Models and Electromyography
Gaussian particle filter	Deterministic Gaussian Filtering based on Herding
Gaussian particle filters	Particle flow Gaussian particle filter
Gaussian process	Efficient Factorisation-based Gaussian Process Approaches for Online Tracking Temporal Gaussian Process Regression in Logarithmic Time
Gaussian Process Methods	A Learning Distributed Gaussian Process Approach for Target Tracking over Sensor Networks
Gaussian processes	Intention-Aware Motion Modeling Using GP Priors With Conditional Kernels Fast optimize-and-sample method for differentiable Galerkin approximations of multi-layered Gaussian process priors Gaussian Process Regression with Grid Spectral Mixture Kernel: Distributed Learning for Multidimensional Data
generalization equation	Classification and Fusion of Two Disparate Data Streams and Nuclear Dissolutions Application
generalized Pearson's correlation coefficient	Estimation Fusion Based on a Simplified Model for the Cross-Covariance of Local Estimation Errors
generating functionals	On Particle Filters with High Complexity Combinatorial Likelihood Functions
Generative models	Unsupervised dynamic modeling of medical image transformations
geometrical localisation	A Geometric Approach to Passive Localisation
glass foam	Mathematical morphology on directional data
GNN	Addressing data association by message passing over graph neural networks
GNSS	Bayesian Sensor Fusion of GNSS and Camera With Outlier Adaptation for Vehicle Positioning On the Use of Multi-correlator Values as Sufficient Statistics as Basis for Flexible Ultra-tight GNSS/INS Integration Developments
gradients	Inference of Stochastic Disease Transmission Models Using Particle-MCMC and a Gradient Based Proposal
Graph matching	Matching of Multiple Moving Ground Targets Observed by Aerial Cameras Based on 2D Kinematics
Graph neural networks	Neural Enhanced Belief Propagation for Data Assocation in Multiobject Tracking
Grid filter	The State Space Subdivision Filter for SE(3)
grid spectral mixture kernel	Gaussian Process Regression with Grid Spectral Mixture Kernel: Distributed Learning for Multidimensional Data
ground target localization	Sensor Fusion and Optimal Platform Trajectory Planning for Ground Target Localization with Terrain Uncertainty and Measurement Biases
Group-target	Accumulated State Densities Filter for Better Separability of Group-Targets
guidelines	Experimental Validation of Single Base Station 5G mmWave Positioning: Initial Findings
gyroscopes	VQF: A Milestone in Accuracy and Versatility of 6D and 9D Inertial Orientation Estimation
H
heading	Cooperative Heading Estimation with von Mises-Fisher Distribution and Particle Filtering
Healthcare	Machine Learning and ADHD Mental Health Detection - A Short Survey
Helipad context	Error reduction in autonomous multirotor vision-based landing system with helipad context
herding	Deterministic Gaussian Filtering based on Herding
human motion tracking	Event-Domain Knowledge in Inertial Sensor Based State Estimation of Human Motion
Human tracking	Matching of Multiple Moving Ground Targets Observed by Aerial Cameras Based on 2D Kinematics
Hybrid Neural Network	Hybrid Neural Network Augmented Physics-based Models for Nonlinear Filtering
hybrid threats	Reasoning with conceptual graphs and evidential networks for multi-entity maritime threat assessment
hyper-parameter optimization	Gaussian Process Regression with Grid Spectral Mixture Kernel: Distributed Learning for Multidimensional Data
hypothesis maintenance	Particle-balanced context-based filtering for hypothesis maintenance in sparse sensor coverage situations
Hypothesis Testing	Uncertainty Aware Quickest Change Detection: An Experimental Study
I
Identifiability	On the Observability of Gaussian Models using Discrete Density Approximations
IFF	Association and Fusion of Range-Azimuth Tracks
image alignment	Real-time Seamless Image Stitching in Autonomous Driving
image fusion	Thermal and Visible Deep Homography Fusion Real-time Seamless Image Stitching in Autonomous Driving
image processing	Mathematical morphology on directional data
Image registration	Unsupervised dynamic modeling of medical image transformations
image stitching	Real-time Seamless Image Stitching in Autonomous Driving
image-source method	Accuracy Study on Target Localization Using Acoustic Bearing Measurements Including Urban Reflections
improving data sensor	Data fusion strategies for improving resilience to sensor noise in cable-stayed tower monitoring
IMU	Event-Domain Knowledge in Inertial Sensor Based State Estimation of Human Motion VQF: A Milestone in Accuracy and Versatility of 6D and 9D Inertial Orientation Estimation Trilateration Using Motion Models
inaccurate noise covariances	Robust Labeled Multi-Bernoulli Filter with Inaccurate Noise Covariances
Indoor-navigation	Error-State Unscented Kalman-Filter for UAV Indoor Navigation
Industry 4.0	Sensor Fusion for Detection and Localization of Carbon Dioxide Releases for Industry 4.0
inertial measurement unit	VQF: A Milestone in Accuracy and Versatility of 6D and 9D Inertial Orientation Estimation
inertial motion capture	Towards Inertial Human Motion Tracking with Drift-Free Absolute Orientations using only Sparse Sources of Heading Information
inertial motion tracking	RNN-based Observability Analysis for Magnetometer-Free Sparse Inertial Motion Tracking
inertial navigation	A Tightly-Integrated Magnetic-Field aided Inertial Navigation System
inertial sensor drift	Towards Inertial Human Motion Tracking with Drift-Free Absolute Orientations using only Sparse Sources of Heading Information
inertial sensors	VQF: A Milestone in Accuracy and Versatility of 6D and 9D Inertial Orientation Estimation
inference	Continuous Model Evaluation and Adaptation to Distribution Shifts: A Probabilistic Self-Supervised Approach
Information Fusion	Reasoning with conceptual graphs and evidential networks for multi-entity maritime threat assessment Fusion of sentence embeddings for news retrieval
Information theory	Fault tolerant cooperative localization using diagnosis based on Jensen Shannon divergence
INS	Event-Domain Knowledge in Inertial Sensor Based State Estimation of Human Motion
Intelligent Vehicles	Combined Road Tracking for Paved Roads and Dirt Roads: LiDAR Measurements and Image Color Modes
Intelligent Warehouse	Efficient Task Allocation in Smart Warehouses with Multi-Delivery Stations and Heterogeneous Robots
Interacting multiple model	A Fast and Robust Maneuvering Target Tracking Method without Markov Assumption
Internet of Things	Sensor Fusion for Detection and Localization of Carbon Dioxide Releases for Industry 4.0
Interpolation	On the Use of Multi-correlator Values as Sufficient Statistics as Basis for Flexible Ultra-tight GNSS/INS Integration Developments
intrinsic calibration	Intrinsic and Extrinsic Calibration Method for a Trinocular Multimodal Camera Setup
inverse Wishart distribution	An Adaptive δ-GLMB Filter Under Noise Statistics Mismatch Robust Labeled Multi-Bernoulli Filter with Inaccurate Noise Covariances
Inverse-Wishart distribution	An Optimal Transport Perspective on Gamma Gaussian Inverse-Wishart Mixture Reduction
iterated least squares algorithm	Camera Calibration with Unknown Time Offset between the Camera and Drone GPS Systems
Iterative learning observers	Robust Iterative Learning Observers Based on a Combination of Stochastic Estimation Schemes and Ellipsoidal Calculus
Iteratively Reweighted Least Squares	Exploitation of the Conditionally Linear Structure in Visual-Inertial Estimation
J
JCRLB	Recursive Joint Cramér-Rao Lower Bound for Nonlinear Parametric Systems with Colored Noise
Jensen Shannon Divergence	Fault tolerant cooperative localization using diagnosis based on Jensen Shannon divergence
Jetson TX2	A New Method of Non-Deep Network for Fast Vehicle Detection
joint tracking and classification	Feature-Based Multi-Object Tracking With Maximally One Object Per Class
Jump Markov nonlinear systems	On the Fixed-Interval Smoothing for Jump Markov Nonlinear Systems
K
Kalman filter	Meta-Cognition. An Inverse-Inverse Reinforcement Learning Approach for Cognitive Radars Accumulated State Densities Filter for Better Separability of Group-Targets A Comparison of Correlation-Agnostic Techniques for Magnetic Navigation Using Probabilistic Geometrical Map Information For Train Localization
Kalman filter and smoother	Temporal Gaussian Process Regression in Logarithmic Time
Kalman Filtering	Self-Assessment for Single-Object Tracking in Clutter Using Subjective Logic Dynamic Clustering for GNSS Positioning with Multiple Receivers A Two-stage Transition Correction Function for Adaptive Markov Matrix in IMM Algorithm Posterior linearisation filter for non-linear state transformation noises
Kernelized Correction Filter	Multi-Frame Track-Before-Detect for Scalable Extended Target Tracking
kinematic chains	RNN-based Observability Analysis for Magnetometer-Free Sparse Inertial Motion Tracking
Kinematics-Kinematics-based matching	Matching of Multiple Moving Ground Targets Observed by Aerial Cameras Based on 2D Kinematics
Knowledge base	A robotic knowledge base to model and update real-world information from indoor environments
Kullback-Leibler Average	Decentralized Collaborative Localization with Map Update using Schmidt-Kalman Filter
Kullback–Leibler divergence minimization	Gaussian Approximation Filter Based on Divergence Minimization for Nonlinear Dynamic Systems
L
labeled multi-Bernoulli filter	Robust Labeled Multi-Bernoulli Filter with Inaccurate Noise Covariances
Lagrangian relaxation	Planar 3D Assignment For Sensor Resource Allocation
least-squares	Dirac Mixture Reduction Using Wasserstein Distances on Projected Cumulative Distributions
LEO satellites	A Hybrid Analytical-Machine Learning Approach for LEO Satellite Orbit Prediction
LiDAR	Extent Estimation of Sailing Boats Applying Elliptic Cones to 3D LiDAR Data Combined Road Tracking for Paved Roads and Dirt Roads: LiDAR Measurements and Image Color Modes Analysis of Multiple Positions for the Intrinsic and Extrinsic Calibration of a Multi-Beam LiDAR Sensor Data Fusion in Top-view Grid Maps using Evidential Reasoning with Advanced Conflict Resolution Extended Target Tracking with a Particle Filter Using State Dependent Target Measurement Models LiDAR-Landmark Modeling for Belief-Space Planning using Aerial Forest Data
LiDAR Measurements	Uncertainty Aware EKF: a Tracking Filter Learning LiDAR Measurement Uncertainty
Lidar odometry	Evaluation and comparison of eight popular Lidar and Visual SLAM algorithms
Lidar-camera	Targetless Lidar-camera registration using patch-wise mutual information
LightGBM	A Fast and Robust Maneuvering Target Tracking Method without Markov Assumption
Lightweight network	A New Method of Non-Deep Network for Fast Vehicle Detection
LinDoA	Linearized Direction of Arrival
Line detector	A vehicle detector based on notched power for distributed acoustic sensing
linear and nonlinear Kalman filtering	Lambda:Omicron - A new prediction model to track maneuvering objects
Linear Regression Kalman Filter	Deterministic Gaussian Filtering based on Herding Deterministic Sampling on the Circle Using Projected Cumulative Distributions
Linear Regression Kalman Filtering	Rejection Sampling from Arbitrary Multivariate Distributions Using Generalized Fibonacci Lattices
LMMSE	Asynchronous Multi-Radar Tracking Fusion with Converted Measurements
Localization	Sensor Fusion for Detection and Localization of Carbon Dioxide Releases for Industry 4.0 Feature Based Multi-Hypothesis Map Representation for Localization in Non-Static Environments Real-time localization for mobile machines by fusing barometric altitude measurements with surface profiles
logarithmic time	Temporal Gaussian Process Regression in Logarithmic Time
long short term Memory	Fusion of Sentiment and Asset Price Predictions for Portfolio Optimization
Loopy Belief Propagation	SOLBP: Second-Order Loopy Belief Propagation for Inference in Uncertain Bayesian Networks
low probability of intercept (LPI)	LPI-Based Joint Node Selection and Power Allocation Strategy for Target Tracking in Distributed MIMO Radar
Low-Discrepancy Sequence	Rejection Sampling from Arbitrary Multivariate Distributions Using Generalized Fibonacci Lattices
Low-rank approximation	Efficient Factorisation-based Gaussian Process Approaches for Online Tracking
M
M-best assignment	Hypothesis Exploration in Multiple Hypothesis Tracking with Multiple Clusters
Machine Learning	Machine Learning and ADHD Mental Health Detection - A Short Survey Continuous Model Evaluation and Adaptation to Distribution Shifts: A Probabilistic Self-Supervised Approach A Hybrid Analytical-Machine Learning Approach for LEO Satellite Orbit Prediction Detection of outliers in classification by using quantified uncertainty in neural networks Uncertainty Aware EKF: a Tracking Filter Learning LiDAR Measurement Uncertainty
magnetic field	A Tightly-Integrated Magnetic-Field aided Inertial Navigation System
Magnetic field Mapping	Indoor SLAM Using a Foot-mounted IMU and the local Magnetic Field
Magnetic maps	A Comparison of Correlation-Agnostic Techniques for Magnetic Navigation
Magnetic navigation	A Comparison of Correlation-Agnostic Techniques for Magnetic Navigation
magnetometer-free	RNN-based Observability Analysis for Magnetometer-Free Sparse Inertial Motion Tracking
magnetometers	VQF: A Milestone in Accuracy and Versatility of 6D and 9D Inertial Orientation Estimation
maneuver detection	Note on Autocorrelation of the Residuals of the NCV Kalman Filter Tracking a Maneuvering Target - Part 2
Maneuvering target tracking	A Fast and Robust Maneuvering Target Tracking Method without Markov Assumption
maneuvering targets	Lambda:Omicron - A new prediction model to track maneuvering objects Note on Autocorrelation of the Residuals of the NCV Kalman Filter Tracking a Maneuvering Target - Part 2
Manifold learning	Unsupervised Clustering of Marine Vessel Trajectories in Historical AIS Database
Map aided localization	Decentralized Collaborative Localization with Map Update using Schmidt-Kalman Filter
map fusion	Cooperative mmWave PHD-SLAM with Moving Scatterers
Map update	Decentralized Collaborative Localization with Map Update using Schmidt-Kalman Filter
marginal particle filter	Efficient Implementation of Marginal Particle Filter by Functional Density Decomposition
Marginalized particle filter	Marginalized Particle Filters for Constant Velocity Models
Maritime	Paraphrasing Techniques for Maritime QA system
Maritime Situational Awareness	Unsupervised Clustering of Marine Vessel Trajectories in Historical AIS Database
Markov assumption	A Fast and Robust Maneuvering Target Tracking Method without Markov Assumption
Markov chain Monte Carlo	Fast optimize-and-sample method for differentiable Galerkin approximations of multi-layered Gaussian process priors
Markov Transition Probability Matrix	A Two-stage Transition Correction Function for Adaptive Markov Matrix in IMM Algorithm
maximum likelihood estimator	Camera Calibration with Unknown Time Offset between the Camera and Drone GPS Systems
mean-variance	Fusion of Sentiment and Asset Price Predictions for Portfolio Optimization
Measure of Uncertainty	An Effective Measure of Uncertainty of Basic Belief Assignments
Measurement Association	Extended Target Tracking with Constrained PMHT
measurement conversion	Coordinates and Conversions for Surface-Wave Radar Asynchronous Multi-Radar Tracking Fusion with Converted Measurements
Measurement models	Extended Target Tracking with a Particle Filter Using State Dependent Target Measurement Models
Mental Health	Machine Learning and ADHD Mental Health Detection - A Short Survey
message passing	Message passing multitarget tracking with out-of-sequence measurements Addressing data association by message passing over graph neural networks
Metrics	Systematic Error Source Analysis of a Real-World Multi-Camera Traffic Surveillance System
Microphone Array	Linearized Direction of Arrival Accuracy Study on Target Localization Using Acoustic Bearing Measurements Including Urban Reflections
minimal solvers	Trilateration Using Motion Models
Mixed sources	An Integrated Localization Method for Mixed Near-Field and Far-Field Sources Based on Mixed-order Statistic
Mixed-order statistic	An Integrated Localization Method for Mixed Near-Field and Far-Field Sources Based on Mixed-order Statistic
Mixture reduction	An Optimal Transport Perspective on Gamma Gaussian Inverse-Wishart Mixture Reduction A Model Selection criterion for the Mixture Reduction problem based on the Kullback-Leibler Divergence
mmWave	Cooperative mmWave PHD-SLAM with Moving Scatterers
Mobile Machines	Real-time localization for mobile machines by fusing barometric altitude measurements with surface profiles
Mobile robots	Efficient Task Allocation in Smart Warehouses with Multi-Delivery Stations and Heterogeneous Robots
Model Selection	A Model Selection criterion for the Mixture Reduction problem based on the Kullback-Leibler Divergence
Modeling and simulation	A Comparison of Correlation-Agnostic Techniques for Magnetic Navigation
Modified SEEV	Lessons Learned in The Development of Quantitative Operator Situational Awareness Assessment Methods for Small-Scale Unmanned Aircraft Systems
monitoring	Self-Assessment for Single-Object Tracking in Clutter Using Subjective Logic
Morph attack detection	Residual Colour Scale-Space Gradients for Reference-based Face Morphing Attack Detection
Morphing attack	Residual Colour Scale-Space Gradients for Reference-based Face Morphing Attack Detection
Motion estimation using inertial sensors	Indoor SLAM Using a Foot-mounted IMU and the local Magnetic Field
motion model	Trilateration Using Motion Models
motion modeling	Intention-Aware Motion Modeling Using GP Priors With Conditional Kernels
Motion Planning	Tackling Threatening behavior through a Semantic Approach
motion tracking	VQF: A Milestone in Accuracy and Versatility of 6D and 9D Inertial Orientation Estimation
MoU	An Effective Measure of Uncertainty of Basic Belief Assignments
movement detection	Automated Movement Detection with Dirichlet Process Mixture Models and Electromyography
moving scatterer	Cooperative mmWave PHD-SLAM with Moving Scatterers
MPNN	Addressing data association by message passing over graph neural networks
MRTA	Efficient Task Allocation in Smart Warehouses with Multi-Delivery Stations and Heterogeneous Robots
MSE optimal fusion	Optimal Linear Fusion of Dimension-Reduced Estimates Using Eigenvalue Optimization
Multi-agent Filtering	Dynamic Clustering for GNSS Positioning with Multiple Receivers
multi-Bernoulli filtering	A multi-Bernoulli Gaussian filter for track-before-detect with superpositional sensors
multi-Bernoulli mixture	Feature-Based Multi-Object Tracking With Maximally One Object Per Class
Multi-camera multi-target tracking	Matching of Multiple Moving Ground Targets Observed by Aerial Cameras Based on 2D Kinematics
Multi-frame Detect	Multi-Frame Track-Before-Detect for Scalable Extended Target Tracking
Multi-frame joint detection	An Improved Two-Stage Based Multi-frame Track-Before-Detect Algorithm in Radar systems
multi-hypothesis map	Feature Based Multi-Hypothesis Map Representation for Localization in Non-Static Environments
multi-level fusion	Ontology for Multi-Level Data Fusion
multi-object tracking	A Circular Detection Driven Adaptive Birth Density for Multi-Object Tracking with Sets of Trajectories PFET: Multi-Vehicle Tracking with Pseudo-Feature Embeddings for Traffic Video Surveillance
multi-radar measurements	Asynchronous Multi-Radar Tracking Fusion with Converted Measurements
Multi-Robot Systems	Efficient Task Allocation in Smart Warehouses with Multi-Delivery Stations and Heterogeneous Robots
Multi-Sensor Multi-Object Filtering	Notes on the Product Multi-Sensor Generalized Labeled Multi-Bernoulli Filter and its Implementation
multi-sensor system	Analysis of Multiple Positions for the Intrinsic and Extrinsic Calibration of a Multi-Beam LiDAR
Multi-State Constraint Kalman Filter	Visual-Inertial Odometry aided by Speed and Steering Angle Measurements
multi-target tracking	Systematic Error Source Analysis of a Real-World Multi-Camera Traffic Surveillance System Passive Sensor Fusion and Tracking in Underwater Surveillance with the GLMB model Gaussian trajectory PMBM filter with nonlinear measurements based on posterior linearisation Robustness in Multiple-Hypothesis Tracking An Adaptive δ-GLMB Filter Under Noise Statistics Mismatch A multi-Bernoulli Gaussian filter for track-before-detect with superpositional sensors On the effective action and the Cramer Rao bound for multi-target tracking parameters Robust Labeled Multi-Bernoulli Filter with Inaccurate Noise Covariances
Multiagent systems	Communication-Efficient and Privacy-Aware Distributed LMS Algorithm
Multimodal Feature Learning	Multimodal feature fusion for concreteness estimation
multimodal setup	Intrinsic and Extrinsic Calibration Method for a Trinocular Multimodal Camera Setup
Multiobject tracking	Neural Enhanced Belief Propagation for Data Assocation in Multiobject Tracking
Multiple Hypothesis Tracking	Hypothesis Exploration in Multiple Hypothesis Tracking with Multiple Clusters A Joint Multiple Hypothesis Tracking and Particle Filter Approach for Aerial Data Fusion
Multiple target Tracking	A comparison between PMBM Bayesian track initialisation and labelled RFS adaptive birth A Fast Poisson Multi-Bernoulli Filter for Multi-Object Tracking
multiple targets tracking	Joint Detection Threshold Optimization and Transmit Resource Allocation for Targets Tracking in Clutter with Colocated MIMO Radar Networks
multiple-hypothesis tracking	Robustness in Multiple-Hypothesis Tracking
multisensor data fusion	Linear Fusion with Element-Wise Knowledge
multitarget tracking	Message passing multitarget tracking with out-of-sequence measurements
mutual information	Targetless Lidar-camera registration using patch-wise mutual information
MVDR	Drone Ego-Noise Cancellation for Improved Speech Capture using Deep Denoising Autoencoder Assisted Multistage Beamforming
MWF	Drone Ego-Noise Cancellation for Improved Speech Capture using Deep Denoising Autoencoder Assisted Multistage Beamforming
N
nearest neighbor association	Self-Assessment for Single-Object Tracking in Clutter Using Subjective Logic
News ranking	Fusion of sentence embeddings for news retrieval
News retrieval	Fusion of sentence embeddings for news retrieval
NLP	Multimodal feature fusion for concreteness estimation
noise statistics mismatch	An Adaptive δ-GLMB Filter Under Noise Statistics Mismatch
noisy label	Privacy Preserving Multi-class Fall Classification Based on Cascaded Learning And Noisy Labels Handling
Non-additive noise	Posterior linearisation filter for non-linear state transformation noises
non-linear filtering	A Look at Improving Robustness in Visual-inertial SLAM by Moment Matching
non-linear/non-Gaussian filtering	Gaussian trajectory PMBM filter with nonlinear measurements based on posterior linearisation
non-negative decomposition	Efficient Implementation of Marginal Particle Filter by Functional Density Decomposition
non-static environment	Feature Based Multi-Hypothesis Map Representation for Localization in Non-Static Environments
nonlinear	Desensitized Extended Kalman Filter with Stochastic Approach to Sensitivity Reduction and Adaptive Weights
Nonlinear Estimation	Particle Filter with LMMSE Importance Sampling Posterior linearisation filter for non-linear state transformation noises On the Observability of Gaussian Models using Discrete Density Approximations
nonlinear filtering	Deterministic Gaussian Filtering based on Herding Hybrid Neural Network Augmented Physics-based Models for Nonlinear Filtering Dirac Mixture Reduction Using Wasserstein Distances on Projected Cumulative Distributions Robustness in Multiple-Hypothesis Tracking On the Role of the Diffusion Matrix in Stiffness Mitigation for Stochastic Particle Flow Filters Gaussian Approximation Filter Based on Divergence Minimization for Nonlinear Dynamic Systems The State Space Subdivision Filter for SE(3)
Nonlinear Filtering and Smoothing	Continuous-Discrete Filtering and Smoothing on Submanifolds of Euclidean Space
nonlinear Kalman filter	Bayesian Sensor Fusion of GNSS and Camera With Outlier Adaptation for Vehicle Positioning
Nonlinear model	An Improved Two-Stage Based Multi-frame Track-Before-Detect Algorithm in Radar systems
Nonlinear parametric systems	Recursive Joint Cramér-Rao Lower Bound for Nonlinear Parametric Systems with Colored Noise
nonparametric probabilistic modeling	Circular Discrete Reapproximation
Notch periodogram	A vehicle detector based on notched power for distributed acoustic sensing
NUTS	Inference of Stochastic Disease Transmission Models Using Particle-MCMC and a Gradient Based Proposal
O
Object detection	A New Method of Non-Deep Network for Fast Vehicle Detection
Object recognition	On the Theoretical Convergence and Error Sensitivity Analysis of Yayambo for Fusion of Probabilistic Classifier Outputs
observability	RNN-based Observability Analysis for Magnetometer-Free Sparse Inertial Motion Tracking On the Observability of Gaussian Models using Discrete Density Approximations
odometry	Trilateration Using Motion Models
Ontology	A robotic knowledge base to model and update real-world information from indoor environments Ontology for Multi-Level Data Fusion
OpenVINS	Visual-Inertial Odometry aided by Speed and Steering Angle Measurements
Operator Situational Awareness	Lessons Learned in The Development of Quantitative Operator Situational Awareness Assessment Methods for Small-Scale Unmanned Aircraft Systems
Optimal transport	An Optimal Transport Perspective on Gamma Gaussian Inverse-Wishart Mixture Reduction A Model Selection criterion for the Mixture Reduction problem based on the Kullback-Leibler Divergence
Optimization	Tackling Threatening behavior through a Semantic Approach
orbital determination	A Hybrid Analytical-Machine Learning Approach for LEO Satellite Orbit Prediction
orientation estimation	Towards Inertial Human Motion Tracking with Drift-Free Absolute Orientations using only Sparse Sources of Heading Information
out-of-sequence measurements	Message passing multitarget tracking with out-of-sequence measurements
P
parallax correction	Thermal and Visible Deep Homography Fusion
parallelization	Temporal Gaussian Process Regression in Logarithmic Time
parameter estimation	Analysis of Multiple Positions for the Intrinsic and Extrinsic Calibration of a Multi-Beam LiDAR
partially known correlation	Linear Fusion with Element-Wise Knowledge
particle filter	Cooperative Heading Estimation with von Mises-Fisher Distribution and Particle Filtering Efficient Implementation of Marginal Particle Filter by Functional Density Decomposition A Joint Multiple Hypothesis Tracking and Particle Filter Approach for Aerial Data Fusion
particle filtering	Rejection Sampling from Arbitrary Multivariate Distributions Using Generalized Fibonacci Lattices Particle-balanced context-based filtering for hypothesis maintenance in sparse sensor coverage situations
Particle filters	Particle Filter with LMMSE Importance Sampling Visibility Informed Bernoulli Filter for Target Tracking in Cluttered Environments Particle flow Gaussian particle filter On Particle Filters with High Complexity Combinatorial Likelihood Functions Extended Target Tracking with a Particle Filter Using State Dependent Target Measurement Models
particle flow filters	Particle flow Gaussian particle filter On the Role of the Diffusion Matrix in Stiffness Mitigation for Stochastic Particle Flow Filters
particle flow particle filters	Particle flow Gaussian particle filter
particle swarm optimization	Robust Jamming Resource Allocation for Cooperatively Suppressing Multi-station Radar Systems in Multi-jammer Systems
Particle-MCMC	Inference of Stochastic Disease Transmission Models Using Particle-MCMC and a Gradient Based Proposal
passive emitter localisation	A Geometric Approach to Passive Localisation
PCRLB	Robust Jamming Resource Allocation for Cooperatively Suppressing Multi-station Radar Systems in Multi-jammer Systems
PDR	Event-Domain Knowledge in Inertial Sensor Based State Estimation of Human Motion
periodic manifold	The State Space Subdivision Filter for SE(3)
PHD filter	The PHD Filter for Target Swarms and Its Gaussian Mixture Implementation
Physics-based Neural Models	Hybrid Neural Network Augmented Physics-based Models for Nonlinear Filtering
piecewise linear segmentation	Deep Learning For Online Time Series Trend Prediction
planar assignment	Planar 3D Assignment For Sensor Resource Allocation
point processes	On the effective action and the Cramer Rao bound for multi-target tracking parameters
point target	A Fast Poisson Multi-Bernoulli Filter for Multi-Object Tracking
Point-mass filter	Point-Mass Filter in Land and Air Terrain-Aided Navigation: Performance Evaluation Density Approximation Error Assessment and Compensation in Point-Mass Filter
Poisson Model	A Variational Bayes Association-based Multi-object Tracker under the Non-homogeneous Poisson Measurement Process
Poisson Multi-Bernoulli Mixture Filter	Poisson multi-Bernoulli mixture filtering with an active sonar using BELLHOP simulation Hypothesis Exploration in Multiple Hypothesis Tracking with Multiple Clusters
Poisson multi-Bernoulli mixtures	Gaussian trajectory PMBM filter with nonlinear measurements based on posterior linearisation A comparison between PMBM Bayesian track initialisation and labelled RFS adaptive birth
polynomial model	A Tightly-Integrated Magnetic-Field aided Inertial Navigation System
portfolio optimization	Fusion of Sentiment and Asset Price Predictions for Portfolio Optimization
Power-spectral density (PSD)	A Comparison of Correlation-Agnostic Techniques for Magnetic Navigation
prediction models	Lambda:Omicron - A new prediction model to track maneuvering objects
preliminary findings	Experimental Validation of Single Base Station 5G mmWave Positioning: Initial Findings
prior knowledge	Event-Domain Knowledge in Inertial Sensor Based State Estimation of Human Motion
Privacy-preservation	Communication-Efficient and Privacy-Aware Distributed LMS Algorithm
probabilistic track map	Using Probabilistic Geometrical Map Information For Train Localization
probability hypothesis density	Cooperative mmWave PHD-SLAM with Moving Scatterers
Probablisticly conservative fusion	A Comparison of Correlation-Agnostic Techniques for Magnetic Navigation
Product Multi-Sensor filter	Notes on the Product Multi-Sensor Generalized Labeled Multi-Bernoulli Filter and its Implementation
Product of Experts	A Learning Distributed Gaussian Process Approach for Target Tracking over Sensor Networks
Projected Cumulative Distribution	Deterministic Sampling on the Circle Using Projected Cumulative Distributions
Q
quadcopter navigation	Error-State Unscented Kalman-Filter for UAV Indoor Navigation
quantum annealing	Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning
Quantum Computing	Quantum Kernel Based Data Fusion
quantum gate circuits	Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning
quantum machine learning	Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning
Quantum Multiple Kernel Learning	Quantum Kernel Based Data Fusion
Quasi-Monte Carlo Simulation	Rejection Sampling from Arbitrary Multivariate Distributions Using Generalized Fibonacci Lattices
quaternion-based method	VQF: A Milestone in Accuracy and Versatility of 6D and 9D Inertial Orientation Estimation
Question and Answering	Paraphrasing Techniques for Maritime QA system
Quickest Change Detection	Uncertainty Aware Quickest Change Detection: An Experimental Study
R
radar	Point-Mass Filter in Land and Air Terrain-Aided Navigation: Performance Evaluation Coordinates and Conversions for Surface-Wave Radar Extended Target Tracking with a Particle Filter Using State Dependent Target Measurement Models
Radar systems	An Improved Two-Stage Based Multi-frame Track-Before-Detect Algorithm in Radar systems
Radar target tracking	Recursive Joint Cramér-Rao Lower Bound for Nonlinear Parametric Systems with Colored Noise
radiochemical facility	Classification and Fusion of Two Disparate Data Streams and Nuclear Dissolutions Application
random finite set	Cooperative mmWave PHD-SLAM with Moving Scatterers
random finite sets	A comparison between PMBM Bayesian track initialisation and labelled RFS adaptive birth A Fast Poisson Multi-Bernoulli Filter for Multi-Object Tracking Visibility Informed Bernoulli Filter for Target Tracking in Cluttered Environments Feature-Based Multi-Object Tracking With Maximally One Object Per Class
Range	Association and Fusion of Range-Azimuth Tracks
RANSAC	Trilateration Using Motion Models
Rao-Blackwellized particle filter	Marginalized Particle Filters for Constant Velocity Models
RBD	Automated Movement Detection with Dirichlet Process Mixture Models and Electromyography
Re-identification	Matching of Multiple Moving Ground Targets Observed by Aerial Cameras Based on 2D Kinematics PFET: Multi-Vehicle Tracking with Pseudo-Feature Embeddings for Traffic Video Surveillance
Receiver	On the Use of Multi-correlator Values as Sufficient Statistics as Basis for Flexible Ultra-tight GNSS/INS Integration Developments
recurrent neural networks	RNN-based Observability Analysis for Magnetometer-Free Sparse Inertial Motion Tracking
Recursive Bayesian smoother	On the Fixed-Interval Smoothing for Jump Markov Nonlinear Systems
reflected wave	Accuracy Study on Target Localization Using Acoustic Bearing Measurements Including Urban Reflections
registration	Targetless Lidar-camera registration using patch-wise mutual information
regression model	Circular Discrete Reapproximation
Reinforcement Learning	Double Deep Q Networks for Sensor Management in Space Situational Awareness Hybrid Deep RePReL: Integrating Relational Planning and Reinforcement Learning for Information Fusion
relational state estimation	Ontology for Multi-Level Data Fusion
relationships	Ontology for Multi-Level Data Fusion
REM sleep behaviour disorder	Automated Movement Detection with Dirichlet Process Mixture Models and Electromyography
Repetitive processes	Robust Iterative Learning Observers Based on a Combination of Stochastic Estimation Schemes and Ellipsoidal Calculus
resource allocation	Joint Detection Threshold Optimization and Transmit Resource Allocation for Targets Tracking in Clutter with Colocated MIMO Radar Networks
Revealed Preference	Meta-Cognition. An Inverse-Inverse Reinforcement Learning Approach for Cognitive Radars
Riemann manifolds	Continuous-Discrete Filtering and Smoothing on Submanifolds of Euclidean Space
Riemannian Manifolds	Deterministic Sampling on the Circle Using Projected Cumulative Distributions
Road Tracking	Combined Road Tracking for Paved Roads and Dirt Roads: LiDAR Measurements and Image Color Modes
Robotics	Robot Joint Tracking With Mobile Depth Cameras for Augmented Reality Applications Real-time localization for mobile machines by fusing barometric altitude measurements with surface profiles
robust	Desensitized Extended Kalman Filter with Stochastic Approach to Sensitivity Reduction and Adaptive Weights
robust jamming resource scheduling	Robust Jamming Resource Allocation for Cooperatively Suppressing Multi-station Radar Systems in Multi-jammer Systems
ROC	Classification and Fusion of Two Disparate Data Streams and Nuclear Dissolutions Application
ROS	Visual-Inertial Odometry aided by Speed and Steering Angle Measurements
S
saddle point	On Particle Filters with High Complexity Combinatorial Likelihood Functions
SAGAT	Lessons Learned in The Development of Quantitative Operator Situational Awareness Assessment Methods for Small-Scale Unmanned Aircraft Systems
Sailing Boat	Extent Estimation of Sailing Boats Applying Elliptic Cones to 3D LiDAR Data
satellite tracking	A Hybrid Analytical-Machine Learning Approach for LEO Satellite Orbit Prediction
SBERT	Fusion of sentence embeddings for news retrieval
scheduling	Planar 3D Assignment For Sensor Resource Allocation
Schmidt-Kalman filter	Decentralized Collaborative Localization with Map Update using Schmidt-Kalman Filter
self-assessment	Self-Assessment for Single-Object Tracking in Clutter Using Subjective Logic
Semantic Parsing	Paraphrasing Techniques for Maritime QA system
Semantization	Tackling Threatening behavior through a Semantic Approach
Sense-making	Fusion of sentence embeddings for news retrieval
sensitivity	Desensitized Extended Kalman Filter with Stochastic Approach to Sensitivity Reduction and Adaptive Weights
Sensor Clustering	Dynamic Clustering for GNSS Positioning with Multiple Receivers
sensor fusion	Towards Inertial Human Motion Tracking with Drift-Free Absolute Orientations using only Sparse Sources of Heading Information Sensor Data Fusion in Top-view Grid Maps using Evidential Reasoning with Advanced Conflict Resolution Cooperative Heading Estimation with von Mises-Fisher Distribution and Particle Filtering VQF: A Milestone in Accuracy and Versatility of 6D and 9D Inertial Orientation Estimation
Sensor Management	Double Deep Q Networks for Sensor Management in Space Situational Awareness Robustness in Multiple-Hypothesis Tracking
Sensor Networks	A Learning Distributed Gaussian Process Approach for Target Tracking over Sensor Networks Efficient Factorisation-based Gaussian Process Approaches for Online Tracking
sensor noise	Data fusion strategies for improving resilience to sensor noise in cable-stayed tower monitoring
Sensor observations	A robotic knowledge base to model and update real-world information from indoor environments
sensor placement	Accuracy Study on Target Localization Using Acoustic Bearing Measurements Including Urban Reflections
Sensor Selection	Dynamic Clustering for GNSS Positioning with Multiple Receivers
Sentence embeddings	Fusion of sentence embeddings for news retrieval
sentiment analysis	Fusion of Sentiment and Asset Price Predictions for Portfolio Optimization
sequential Bayesian estimation	Visibility Informed Bernoulli Filter for Target Tracking in Cluttered Environments
Sequential modeling	Unsupervised dynamic modeling of medical image transformations
Sequential Monte Carlo Methods	Particle Filter with LMMSE Importance Sampling
sets of trajectories	Gaussian trajectory PMBM filter with nonlinear measurements based on posterior linearisation A Circular Detection Driven Adaptive Birth Density for Multi-Object Tracking with Sets of Trajectories
Shannon entropy	An Effective Measure of Uncertainty of Basic Belief Assignments
signals of opportunity	A Hybrid Analytical-Machine Learning Approach for LEO Satellite Orbit Prediction
simulated annealing-based hybrid particle swarm	Joint Detection Threshold Optimization and Transmit Resource Allocation for Targets Tracking in Clutter with Colocated MIMO Radar Networks
Simultaneous Localization and Mapping	Evaluation and comparison of eight popular Lidar and Visual SLAM algorithms Indoor SLAM Using a Foot-mounted IMU and the local Magnetic Field Data Fusion for Radio Frequency SLAM with Robust Sampling
Single-Track Model	Visual-Inertial Odometry aided by Speed and Steering Angle Measurements
Singlelevel feature strategy	A New Method of Non-Deep Network for Fast Vehicle Detection
SITL	Error reduction in autonomous multirotor vision-based landing system with helipad context
situational awareness	Reasoning with conceptual graphs and evidential networks for multi-entity maritime threat assessment
skeleton features	Privacy Preserving Multi-class Fall Classification Based on Cascaded Learning And Noisy Labels Handling
SLAM	Exploitation of the Conditionally Linear Structure in Visual-Inertial Estimation
Smart Warehouse	Efficient Task Allocation in Smart Warehouses with Multi-Delivery Stations and Heterogeneous Robots
sonar tracking	Poisson multi-Bernoulli mixture filtering with an active sonar using BELLHOP simulation
Sources localization	An Integrated Localization Method for Mixed Near-Field and Far-Field Sources Based on Mixed-order Statistic
Space Situational Awareness	Double Deep Q Networks for Sensor Management in Space Situational Awareness
sparse sensing	RNN-based Observability Analysis for Magnetometer-Free Sparse Inertial Motion Tracking
sparse sensor coverage	Particle-balanced context-based filtering for hypothesis maintenance in sparse sensor coverage situations
Spatial clustering	Accumulated State Densities Filter for Better Separability of Group-Targets
special Euclidean group	The State Space Subdivision Filter for SE(3)
speech enhancement	Drone Ego-Noise Cancellation for Improved Speech Capture using Deep Denoising Autoencoder Assisted Multistage Beamforming
Speed and Steering Angle Measurements	Visual-Inertial Odometry aided by Speed and Steering Angle Measurements
star-convex	An Improved B-spline Extended Object Tracking Model using the Iterative Closest Point Method
State estimation	Combined Road Tracking for Paved Roads and Dirt Roads: LiDAR Measurements and Image Color Modes Point-Mass Filter in Land and Air Terrain-Aided Navigation: Performance Evaluation Density Approximation Error Assessment and Compensation in Point-Mass Filter A Two-stage Transition Correction Function for Adaptive Markov Matrix in IMM Algorithm Note on Autocorrelation of the Residuals of the NCV Kalman Filter Tracking a Maneuvering Target - Part 2 Efficient Implementation of Marginal Particle Filter by Functional Density Decomposition
state estimation and inference	Circular Discrete Reapproximation
state space	Temporal Gaussian Process Regression in Logarithmic Time
State-space models	Unsupervised dynamic modeling of medical image transformations
statistical independence	Classification and Fusion of Two Disparate Data Streams and Nuclear Dissolutions Application
Stereo Vision	Sensor Data Fusion in Top-view Grid Maps using Evidential Reasoning with Advanced Conflict Resolution
stiffness mitigation	On the Role of the Diffusion Matrix in Stiffness Mitigation for Stochastic Particle Flow Filters
Stochastic estimation	Robust Iterative Learning Observers Based on a Combination of Stochastic Estimation Schemes and Ellipsoidal Calculus
stochastic flow	On Particle Filters with High Complexity Combinatorial Likelihood Functions
stochastic modelling	Using Probabilistic Geometrical Map Information For Train Localization
stochastic triggering	Event-Based Kalman Filtering Exploiting Correlated Trigger Information
stock indices	Deep Learning For Online Time Series Trend Prediction
stock prediction	Fusion of Sentiment and Asset Price Predictions for Portfolio Optimization
Structured and Unstructured domains	Hybrid Deep RePReL: Integrating Relational Planning and Reinforcement Learning for Information Fusion
subjective logic	Self-Assessment for Single-Object Tracking in Clutter Using Subjective Logic
Subterranean	Lessons Learned in The Development of Quantitative Operator Situational Awareness Assessment Methods for Small-Scale Unmanned Aircraft Systems
Sufficient statistic	On the Use of Multi-correlator Values as Sufficient Statistics as Basis for Flexible Ultra-tight GNSS/INS Integration Developments
Sugeno integral	Aggregating Ordinal Confidences
surface wave	Coordinates and Conversions for Surface-Wave Radar
swarm targets tracking	The PHD Filter for Target Swarms and Its Gaussian Mixture Implementation
T
Target motion analysis	Passive Sensor Fusion and Tracking in Underwater Surveillance with the GLMB model
target tracking	A Variational Bayes Association-based Multi-object Tracker under the Non-homogeneous Poisson Measurement Process On the Fixed-Interval Smoothing for Jump Markov Nonlinear Systems Visibility Informed Bernoulli Filter for Target Tracking in Cluttered Environments Hybrid Neural Network Augmented Physics-based Models for Nonlinear Filtering Association and Fusion of Range-Azimuth Tracks A Two-stage Transition Correction Function for Adaptive Markov Matrix in IMM Algorithm LPI-Based Joint Node Selection and Power Allocation Strategy for Target Tracking in Distributed MIMO Radar Note on Autocorrelation of the Residuals of the NCV Kalman Filter Tracking a Maneuvering Target - Part 2 Asynchronous Multi-Radar Tracking Fusion with Converted Measurements
Task offloading	UAV-enabled Edge Computing for Optimal Task Distribution in Target Tracking
Terrain-aided navigation	Point-Mass Filter in Land and Air Terrain-Aided Navigation: Performance Evaluation
thermal and visible fusion	Thermal and Visible Deep Homography Fusion
threat assessment	Reasoning with conceptual graphs and evidential networks for multi-entity maritime threat assessment
Threat Detection	Tackling Threatening behavior through a Semantic Approach
time offset	Camera Calibration with Unknown Time Offset between the Camera and Drone GPS Systems
time resolution	Classification and Fusion of Two Disparate Data Streams and Nuclear Dissolutions Application
time series	Deep Learning For Online Time Series Trend Prediction
Time-of-arrival	Trilateration Using Motion Models
Track Association	Association and Fusion of Range-Azimuth Tracks
Track Fusion	Association and Fusion of Range-Azimuth Tracks
Track-before-detect	An Improved Two-Stage Based Multi-frame Track-Before-Detect Algorithm in Radar systems A multi-Bernoulli Gaussian filter for track-before-detect with superpositional sensors Multi-Frame Track-Before-Detect for Scalable Extended Target Tracking
Track-to-Track Fusion	Track-to-Track Fusion for Elliptical Extended Targets Parameterized with Orientation and Semi-Axes Lengths
tracking	Deterministic Gaussian Filtering based on Herding Self-Assessment for Single-Object Tracking in Clutter Using Subjective Logic Lambda:Omicron - A new prediction model to track maneuvering objects Robot Joint Tracking With Mobile Depth Cameras for Augmented Reality Applications Real-time localization for mobile machines by fusing barometric altitude measurements with surface profiles A Joint Multiple Hypothesis Tracking and Particle Filter Approach for Aerial Data Fusion
Traffic surveillance system	Systematic Error Source Analysis of a Real-World Multi-Camera Traffic Surveillance System
train positioning	Using Probabilistic Geometrical Map Information For Train Localization
Trajectory Fusion	Tackling Threatening behavior through a Semantic Approach
trajectory planning	Sensor Fusion and Optimal Platform Trajectory Planning for Ground Target Localization with Terrain Uncertainty and Measurement Biases
Transferable Belief Theory	Evidential Decision Fusion of Deep Neural Networks for Covid Diagnosis
transmit resource optimization	LPI-Based Joint Node Selection and Power Allocation Strategy for Target Tracking in Distributed MIMO Radar
trend prediction	Deep Learning For Online Time Series Trend Prediction
Trilateration	Trilateration Using Motion Models
trust	Continuous Model Evaluation and Adaptation to Distribution Shifts: A Probabilistic Self-Supervised Approach
U
UAV	Error reduction in autonomous multirotor vision-based landing system with helipad context
uncertain	Desensitized Extended Kalman Filter with Stochastic Approach to Sensitivity Reduction and Adaptive Weights
Uncertain Bayesian Networks	SOLBP: Second-Order Loopy Belief Propagation for Inference in Uncertain Bayesian Networks
Uncertain Models	Uncertainty Aware Quickest Change Detection: An Experimental Study
uncertainty	Aggregating Ordinal Confidences
Uncertainty Estimation	Self-Assessment and Robust Anomaly Detection with Bayesian Deep Learning
Uncertainty in neural networks	Detection of outliers in classification by using quantified uncertainty in neural networks
Uncertainty Quantification	A Learning Distributed Gaussian Process Approach for Target Tracking over Sensor Networks Efficient Factorisation-based Gaussian Process Approaches for Online Tracking
UNet	Drone Ego-Noise Cancellation for Improved Speech Capture using Deep Denoising Autoencoder Assisted Multistage Beamforming
unmanned aerial vehicle (UAV)	Drone Ego-Noise Cancellation for Improved Speech Capture using Deep Denoising Autoencoder Assisted Multistage Beamforming UAV-enabled Edge Computing for Optimal Task Distribution in Target Tracking
Unscented Kalman Filter	Error-State Unscented Kalman-Filter for UAV Indoor Navigation
unsolvable targets	The PHD Filter for Target Swarms and Its Gaussian Mixture Implementation
Unsupervised clustering	Unsupervised Clustering of Marine Vessel Trajectories in Historical AIS Database
urban environment	Accuracy Study on Target Localization Using Acoustic Bearing Measurements Including Urban Reflections
UWB positioning	Error-State Unscented Kalman-Filter for UAV Indoor Navigation
V
variance component estimation	Analysis of Multiple Positions for the Intrinsic and Extrinsic Calibration of a Multi-Beam LiDAR
variational Bayes	A Variational Bayes Association-based Multi-object Tracker under the Non-homogeneous Poisson Measurement Process
variational Bayesian	An Adaptive δ-GLMB Filter Under Noise Statistics Mismatch
variational Bayesian inference	Robust Labeled Multi-Bernoulli Filter with Inaccurate Noise Covariances
variational filtering	A Variational Bayes Association-based Multi-object Tracker under the Non-homogeneous Poisson Measurement Process
Vehicle detector	A vehicle detector based on notched power for distributed acoustic sensing
Vehicle Tracking	Uncertainty Aware EKF: a Tracking Filter Learning LiDAR Measurement Uncertainty
Virtual landmarks	LiDAR-Landmark Modeling for Belief-Space Planning using Aerial Forest Data
Visual odometry	Evaluation and comparison of eight popular Lidar and Visual SLAM algorithms
visual SLAM	A Look at Improving Robustness in Visual-inertial SLAM by Moment Matching
visual tracking	Feature-Based Multi-Object Tracking With Maximally One Object Per Class
Visual-Inertial Estimation	Exploitation of the Conditionally Linear Structure in Visual-Inertial Estimation
Visual-Inertial Navigation Systems	Visual-Inertial Odometry aided by Speed and Steering Angle Measurements
Visual-Inertial Odometry	A Look at Improving Robustness in Visual-inertial SLAM by Moment Matching Visual-Inertial Odometry aided by Speed and Steering Angle Measurements
W
Wasserstein distance	Dirac Mixture Reduction Using Wasserstein Distances on Projected Cumulative Distributions
weak maneuvers	Note on Autocorrelation of the Residuals of the NCV Kalman Filter Tracking a Maneuvering Target - Part 2
Wireless Sensor Networks	Sensor Fusion for Detection and Localization of Carbon Dioxide Releases for Industry 4.0
Word Embeddings	Multimodal feature fusion for concreteness estimation
Z
ZUPT	Event-Domain Knowledge in Inertial Sensor Based State Estimation of Human Motion
δ
δ-Generalized Labeled Multi-Bernoulli Filter	Notes on the Product Multi-Sensor Generalized Labeled Multi-Bernoulli Filter and its Implementation
δ-GLMB filter	An Adaptive δ-GLMB Filter Under Noise Statistics Mismatch

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