FUSION2023: 26TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION2023)

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

3
3D shape tracking	Shape Tracking Using Fourier-Chebyshev Double Series for 3D Distance Measurements
A
absorbing boundary	Approximate First-Passage Time Distributions for Gaussian Motion and Transportation Models
Accumulated State Densities	Automatic Identification of Coordinated Targets
acoustic	Simultaneous Sensor and Sound Source Localization in Urban Environments
Acoustic Data Fusion	Navigation in Shallow Water Using Passive Acoustic Ranging
active fault diagnosis	Approximate Bayesian State Estimation for Active Fault Diagnosis of Large-Scale Systems
Active Sensing	Reinforcement Learning based Guidance Policy Optimization for a Swarm of Cooperative Sensor Platforms Tracking a Single Target Dual Control Inspired Active Sensing for Bearing-Only Target Tracking
Adaptive filters	Avoiding quantification effect in the vertical trajectory reconstruction filtering system
adaptive kalman filter	Adaptive Kalman Filter Tracking for Instantaneous Aircraft Flutter Monitoring
advanced driver assistance systems	Bayesian Sensor Fusion for Joint Vehicle Localization and Road Mapping Using Onboard Sensors
aggregated messages	Identifying Key Features in Aggregated Real-Life AIS-Messages for Classification of Maritime Vessels by Random Forests
Aggregation and Combination
AI/ML	Fault Detection in Resilient Time Provision
Air Traffic Control	Avoiding quantification effect in the vertical trajectory reconstruction filtering system
aircraft flutter monitoring	Adaptive Kalman Filter Tracking for Instantaneous Aircraft Flutter Monitoring
Aircraft Maintenance Scheduling	Scheduling Condition-based Maintenance: An Explainable Deep Reinforcement Learning Approach via Reward Decomposition
Aircraft vertical data	Avoiding quantification effect in the vertical trajectory reconstruction filtering system
AIS	Identifying Key Features in Aggregated Real-Life AIS-Messages for Classification of Maritime Vessels by Random Forests
ambiguities	GLRT Particle Filter for Non-Line of Sight Moving Target Tracking via Phased Array Radar
analytical approximation	Approximate fusion of probability density functions using Gaussian copulas
anomaly detection	Unsupervised anomaly detection under a multiple modeling strategy via model set optimization through transfer learning
AR	Intention Estimation with Recurrent Neural Networks for Mixed Reality Environments
around-the-corner radar	GLRT Particle Filter for Non-Line of Sight Moving Target Tracking via Phased Array Radar
artificial	Computational Algorithms for Acoustic Signals Direction of Arrival and Sound Speed Estimation
artificial intelligence	Computational Algorithms for Acoustic Signals Direction of Arrival and Sound Speed Estimation On the Use of Real-Time Multi-Object Detection and Classification for Automated Assessment of Operator Visual Attention Allocation
Association-Free Tracking	Multitarget-Multidetection Tracking Using the Kernel SME Filter
Attack detection	Robust Face Morphing Attack Detection Using Fusion of Multiple Features and Classification Techniques
automated driving	Improved Multi-Scale Grid Rendering of Point Clouds for Radar Object Detection Networks
Automatic Identification System (AIS)	Variations of Joint Integrated Data Association With Radar and Target-Provided Measurements
automotive radar	A Novel Method for Maneuvering Extended Vehicle Tracking with Automotive Radar Improved Multi-Scale Grid Rendering of Point Clouds for Radar Object Detection Networks
Autonomous Agent	Scheduling Condition-based Maintenance: An Explainable Deep Reinforcement Learning Approach via Reward Decomposition
autonomous driving	Bayesian Sensor Fusion for Joint Vehicle Localization and Road Mapping Using Onboard Sensors
Autonomous vehicle	Ghost Track Detection in Multitarget Tracking using LSTM Network
autonomous vehicles	Towards Terrain-Based Navigation Using Side-scan Sonar
autonomous vessels	Automatic Estimation of Ship-Mounted Cameras' Orientation by Hand-Eye Calibration
B
Bayes Filtering	Navigation in Shallow Water Using Passive Acoustic Ranging
Bayesian approach	Approximate Bayesian State Estimation for Active Fault Diagnosis of Large-Scale Systems
Bayesian estimation	Progressive Bayesian Particle Flows based on Optimal Transport Map Sequences Towards Terrain-Based Navigation Using Side-scan Sonar Extended target PMBM tracker with a Gaussian Process target model on LiDAR data
Bayesian Filtering	Evaluation Scores for Elliptic Extended Object Tracking Considering Diverse Object Sizes Improved Extended Object Tracking with Efficient Particle-based Orientation Estimation
Bayesian inference	Constrained Gaussian-Process State-Space Models for Online Magnetic-Field Estimation Multiscan Shape Estimation for Extended Object Tracking Automatic Identification of Coordinated Targets Dual occupancy and knowledge maps management for optimal traversability risk analysis
Bayesian network	DEMDE: Decision Making Design based on Bayesian Network for Personalized Monitoring System
bayesian recursive update	Ensemble Kalman Filter with Bayesian Recursive Update
Bearing Estimation	Collaborative Bearing Estimation Using Set Membership Methods
Bearing-Only Target Tracking	Dual Control Inspired Active Sensing for Bearing-Only Target Tracking
bearing-only TMA	Observability of Bias of Measurements in Bearings-Only Target Motion Analysis
Belief Assignment
Belief Functions	Cross-Entropy and Relative Entropy of Basic Belief Assignments
belief functions theory	Weighted Fusion of Multiple Classifiers for Human Activity Recognition
belief propagation	Belief propagation for marginal probabilities in multiple hypothesis tracking On Multitarget Tracking with Possibly Unresolved Measurements
Bernoulli filter	Joint Emitter Detection and Tracking Based on the Bernoulli Filter
BF-TOPSIS	Weighted Fusion of Multiple Classifiers for Human Activity Recognition
bias	Observability of Bias of Measurements in Bearings-Only Target Motion Analysis
bias compensation	Joint bias and target state estimation based on Doppler sensors
Biometrics	Robust Face Morphing Attack Detection Using Fusion of Multiple Features and Classification Techniques
bounding box	Bounding Box Dynamics in Visual Tracking: Modeling and Noise Covariance Estimation Bounding Box Detection in Visual Tracking: Measurement Model Parameter Estimation
Bregman divergence	Learning Empirical Bregman Divergence for Uncertain Distance Representation
C
camera	Multimodal Early Fusion of Automotive Sensors based on Autoencoder Network: An anchor-free approach for Vehicle 3D Detection
camera panning and zooming	Interframe Association of YOLO Bounding Boxes in the Presence of Camera Panning and Zooming
camera surveillance system	Full State Information Transfer Across Adjacent Cameras in a Network Using Gauss Helmert Filters
Change Detection	MCTNet: A Multi-Scale CNN-Transformer Network for Change Detection in Optical Remote Sensing Images
Chapman-Kolmogorov equation	Design of Efficient Point-Mass Filter with Terrain Aided Navigation Illustration
ChatGPT	Uncertain about ChatGPT: enabling the uncertainty evaluation of large language models
class imbalance	Exercise and Sedentary Activity Recognition Using Late Fusion: Building Adaptable Uncertain Models
classification	Comparison of Classification Techniques for Extremism Detection in French Social Media Identifying Key Features in Aggregated Real-Life AIS-Messages for Classification of Maritime Vessels by Random Forests On-Sensor Online Learning and Classification Under 8 KB Memory
classification and identification	Reinforcement Learning-based Autonomous Sensor Control via Simultaneous Learning of Policies and State-Action Spaces
Classifier	Classification of Warship Formations Using a Kohonen Network
Classifiers fusion	Deep classifiers evidential fusion with reliability
cluster fusion	Identifying Aircraft Motions and Patterns from Magnetometry Data Using a Knowledge-Based Multi-Fusion Approach
Clutter	WakeIPDA: Target tracking with existence modeling in the presence of wakes
clutter covariance matrix	Multi-frame Detection for Dim Target under Heterogeneous Clutter in Airborne Radars
Co-embedding	Co-embedding Multi-type Data for Information Fusion and Visual Analytics
coarse gating	Measurement-to-Measurement Association for MDA with A Practical Coarse Gating Strategy
Cognitive Radar	Statistical Detection of Coordination in a Cognitive Radar Network through Inverse Multi-Objective Optimization
Collaborative Estimation	Collaborative Bearing Estimation Using Set Membership Methods
Collective behaviours	Automatic Identification of Coordinated Targets
Communication constraints	Track-To-Track Association for Fusion of Dimension-Reduced Estimates
Condition monitoring	Joint Estimation of Vessel Parameter-Motion and Sea State
Conjugate prior	Labeled Probability Hypothesis Density Filtering for Track-Before-Detect Strategy
connected	Hybrid Quantum-Classical Neural Network for Incident Detection
Conservative Data Fusion	Conservative Data Reduction for Covariance Matrices Using Elementwise Event Triggers
Context-aware data fusion	DEMDE: Decision Making Design based on Bayesian Network for Personalized Monitoring System
context-aware kalman filter	Adaptive Kalman Filter Tracking for Instantaneous Aircraft Flutter Monitoring
continuous Gaussian mixture model	A Gaussian Integral Filter with Multivariate Laplace Process Noise
Convolution	Design of Efficient Point-Mass Filter with Terrain Aided Navigation Illustration
Convolutional neural network	MCTNet: A Multi-Scale CNN-Transformer Network for Change Detection in Optical Remote Sensing Images Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland
Cooperative Target Tracking	Reinforcement Learning based Guidance Policy Optimization for a Swarm of Cooperative Sensor Platforms Tracking a Single Target
Coordinate transformation	Unbiased Electro-optical/Infrared Camera Angular Measurements and their Cross-Correlated Errors
Coordinated targets	Automatic Identification of Coordinated Targets
Covariance Data Reduction	Conservative Data Reduction for Covariance Matrices Using Elementwise Event Triggers
Covariance Intersection	Association of labellized tracks with low reliability covariance information: a track graph partitioning approach Collaborative Bearing Estimation Using Set Membership Methods
Cramér-Rao bound	Simultaneous Sensor and Sound Source Localization in Urban Environments
credal sets	Bounded Subjective Opinions
cross-entropy	Cross-Entropy and Relative Entropy of Basic Belief Assignments
cross-modal	Generic Multimodal Gradient-based Meta Learner Framework
CUDA	Multi-Target Tracking with GPU-Accelerated Data Association Engine
D
data assimilation	Ensemble Gaussian Mixture Filtering with Particle-localized Covariances
data association	Belief propagation for marginal probabilities in multiple hypothesis tracking Multi-Target Tracking with GPU-Accelerated Data Association Engine A Scalable Rao-Blackwellised Sequential MCMC Sampler for Joint Detection and Tracking in Clutter Probability Distributions in Coastal Regions for Association of Naval Vessels
data fusion	Generic Multimodal Gradient-based Meta Learner Framework Simultaneous Sensor and Sound Source Localization in Urban Environments Co-embedding Multi-type Data for Information Fusion and Visual Analytics Enhance Public Safety Surveillance in Smart Cities by Fusing Optical and Thermal Cameras Learning IMM Filter Parameters from Measurements using Gradient Descent Enhancing Disaster Management of Guyed Towers through Machine Learning-Based Data Fusion Variations of Joint Integrated Data Association With Radar and Target-Provided Measurements
Data-region association	A Novel Method for Maneuvering Extended Vehicle Tracking with Automotive Radar
Datafusion	Optimal Sampling Methodologies for High-rate Structural Twinning
dataset	Intention Estimation with Recurrent Neural Networks for Mixed Reality Environments
Decentralized Data Fusion	Conservative Data Reduction for Covariance Matrices Using Elementwise Event Triggers
decentralized decision making	Decentralized Decision Making over Random Graphs
decentralized fusion	Association of labellized tracks with low reliability covariance information: a track graph partitioning approach
Decision fusion	Late Meta-learning Fusion Using Representation Learning for Time Series Forecasting
Decision Making	Scheduling Condition-based Maintenance: An Explainable Deep Reinforcement Learning Approach via Reward Decomposition Sequential Source Selection Based On Evidential Value of Information
Deep Learning	Enhance Public Safety Surveillance in Smart Cities by Fusing Optical and Thermal Cameras Unsupervised anomaly detection under a multiple modeling strategy via model set optimization through transfer learning Deep classifiers evidential fusion with reliability Out-of-distribution Object Detection through Bayesian Uncertainty Estimation
deep metric learning	Learning Empirical Bregman Divergence for Uncertain Distance Representation
Dehaze
Dempster-Shafer theory	Exercise and Sedentary Activity Recognition Using Late Fusion: Building Adaptable Uncertain Models Deep classifiers evidential fusion with reliability
Detection	A Scalable Rao-Blackwellised Sequential MCMC Sampler for Joint Detection and Tracking in Clutter Elephant DOA Estimation using a Geophone Network On the Use of Real-Time Multi-Object Detection and Classification for Automated Assessment of Operator Visual Attention Allocation Reinforcement Learning-based Autonomous Sensor Control via Simultaneous Learning of Policies and State-Action Spaces
deterministic sampling	Progressive Bayesian Particle Flows based on Optimal Transport Map Sequences Deterministic Sampling of Arbitrary Densities Using Equal Sphere Packing of Volume under the Density (PoVuD)
Dimension-reduced estimates	Track-To-Track Association for Fusion of Dimension-Reduced Estimates
direct wave	Simultaneous Sensor and Sound Source Localization in Urban Environments
direction of arrival	Simultaneous Sensor and Sound Source Localization in Urban Environments Elephant DOA Estimation using a Geophone Network
Direction of arrival estimation	Periodic Fisher-Scoring Algorithm with Applications for DOA Estimation in Seismic Arrays
directional statistics	On the Spherical Laplace Distribution
Dirichlet distribution	Bounded Subjective Opinions
Dirichlet process	Flexible Multi-Target Tracking with Track Management Using Dirichlet and Gaussian Processes
Discrete Wavelet Transform
disinfection robot	Sweeping UV-C Disinfection: a Mathematical Approach
distance representation	Learning Empirical Bregman Divergence for Uncertain Distance Representation
distributed estimation	Distributed Swarm Navigation with Factored Filters
distributed Kalman filter	Geometry-Aware Distributed Kalman Filtering for Affine Formation Control under Observation Losses
Distributed Kalman filters	Distributed multi-agent magnetic field norm SLAM with Gaussian processes
Document exploration	Co-embedding Multi-type Data for Information Fusion and Visual Analytics
Doppler-only tracking	Joint bias and target state estimation based on Doppler sensors
Dual Control	Dual Control Inspired Active Sensing for Bearing-Only Target Tracking
Dynamic Measurement Fusion	Motion Tracking with Coupled Magnetometers and Dynamic IMU Measurement Fusion in Nonuniform Magnetic Fields
dynamic modeling	Bounding Box Dynamics in Visual Tracking: Modeling and Noise Covariance Estimation
E
early fusion	Multimodal Early Fusion of Automotive Sensors based on Autoencoder Network: An anchor-free approach for Vehicle 3D Detection
edge-based computing	MobileFuse: Multimodal Image Fusion at the Edge
Elephants	Elephant DOA Estimation using a Geophone Network
emitter localization	Non-myopic Sensor Path Planning for Emitter Localization with a UAV
encoder-decoder networks	Model-based Deep Learning for Maneuvering Target Tracking
ensemble Gaussian mixture	Large-Scale Space Object Tracking in a Proliferated LEO Scenario
ensemble Gaussian mixture filter	Ensemble Gaussian Mixture Filtering with Particle-localized Covariances
ensemble kalman filter	Ensemble Kalman Filter with Bayesian Recursive Update
equivalent measurement	Distributed Swarm Navigation with Factored Filters
estimation	Unbiased Electro-optical/Infrared Camera Angular Measurements and their Cross-Correlated Errors Observability of Bias of Measurements in Bearings-Only Target Motion Analysis Mismatched Filter Design Applied to 1D and 2D Sinusoidal Models
evaluation criteria	Uncertain about ChatGPT: enabling the uncertainty evaluation of large language models
Event detection	Few-shot Domain-Adaptative Visually Fused Event Detection from Text
event fusion	Identifying Aircraft Motions and Patterns from Magnetometry Data Using a Knowledge-Based Multi-Fusion Approach
Evidence theory	Sequential Source Selection Based On Evidential Value of Information
Evidential reasoning	URREF Risk analysis towards Data Fusion Certification
experimental comparison	Identifying Key Features in Aggregated Real-Life AIS-Messages for Classification of Maritime Vessels by Random Forests
Explainable Artificial Intelligence	Scheduling Condition-based Maintenance: An Explainable Deep Reinforcement Learning Approach via Reward Decomposition
Explainable Reinforcement Learning	Scheduling Condition-based Maintenance: An Explainable Deep Reinforcement Learning Approach via Reward Decomposition
Extended Kalman Filter	Motion Tracking with Coupled Magnetometers and Dynamic IMU Measurement Fusion in Nonuniform Magnetic Fields
Extended object tracking	Extended Target Tracking With a Lidar Sensor Using Random Matrices and a Gaussian Processes Regression Model Evaluation Scores for Elliptic Extended Object Tracking Considering Diverse Object Sizes Improved Extended Object Tracking with Efficient Particle-based Orientation Estimation An Efficient Implementation of the Extended Object Trajectory PMB Filter Using Blocked Gibbs Sampling Multiscan Shape Estimation for Extended Object Tracking
extended objects	L:OMEM - A fast filter to track maneuvering extended objects
Extended target tracking	A Novel Method for Maneuvering Extended Vehicle Tracking with Automotive Radar Multiple Gaussian Processes based Extended Target Tracking with Variational Inference
Extended Targets	Extended target PMBM tracker with a Gaussian Process target model on LiDAR data
extension estimation	Extended Target Tracking With a Lidar Sensor Using Random Matrices and a Gaussian Processes Regression Model
extremism detection	Comparison of Classification Techniques for Extremism Detection in French Social Media
extrinsic parameters	Automatic Estimation of Ship-Mounted Cameras' Orientation by Hand-Eye Calibration
F
FAB algorithm	Target search with a radar on an airborne platform
factor graph	Multipath-based SLAM with Multiple-Measurement Data Association Distributed Swarm Navigation with Factored Filters
factor graphs	Measuring Multi-Source Redundancy in Factor Graphs
Fast Marching Method	Probability Distributions in Coastal Regions for Association of Naval Vessels
Fault detection	Fault Detection in Resilient Time Provision
Feature fusion	Holistic Self-Distillation with the Squeeze and Excitation Network for Fine-grained Plant Pathology Classification
few-shot learning	Generic Multimodal Gradient-based Meta Learner Framework Few-shot Domain-Adaptative Visually Fused Event Detection from Text
filtering	The Fast Product Multi-Sensor Labeled Multi-Bernoulli Filter
Fine-grained plant classification	Holistic Self-Distillation with the Squeeze and Excitation Network for Fine-grained Plant Pathology Classification
finite point process	Stochastic flows – a primer on early multi-object filtering work with point processes
Finite Set Statistics	The Product Multi-Sensor Labeled Multi-Bernoulli Filter
First passage	Approximate First-Passage Time Distributions for Gaussian Motion and Transportation Models
Fisher information matrix	Observability of Bias of Measurements in Bearings-Only Target Motion Analysis
Fixed-interval smoothing	On the approximation of the quotient of two Gaussian densities for multiple-model smoothing
flight vibration testing	Adaptive Kalman Filter Tracking for Instantaneous Aircraft Flutter Monitoring
Fokker-Planck equation	Design of Efficient Point-Mass Filter with Terrain Aided Navigation Illustration
formation control	Geometry-Aware Distributed Kalman Filtering for Affine Formation Control under Observation Losses
Fourier-Chebyshev double series	Shape Tracking Using Fourier-Chebyshev Double Series for 3D Distance Measurements
framework	Stone Soup: No Longer Just an Appetiser
fusion	Collaborative Bearing Estimation Using Set Membership Methods Stone Soup: No Longer Just an Appetiser Measurement and Track Fusion at the System Level
fusion and ensemble	Study of Overfitting by Machine Learning Methods Using Generalization Equations
G
game theory	Game-Theoretic Strategies for Quantum-Conventional Network Infrastructures
Gauss Helmert Filter	Full State Information Transfer Across Adjacent Cameras in a Network Using Gauss Helmert Filters
Gaussian copulas	Approximate fusion of probability density functions using Gaussian copulas
Gaussian integral filter	A Gaussian Integral Filter with Multivariate Laplace Process Noise
Gaussian process	Approximate First-Passage Time Distributions for Gaussian Motion and Transportation Models Flexible Multi-Target Tracking with Track Management Using Dirichlet and Gaussian Processes
Gaussian process (GP)	Mapping the magnetic field using a magnetometer array with noisy input Gaussian process regression
Gaussian process regression	Large-scale magnetic field maps using structured kernel interpolation for Gaussian process regression
Gaussian processes	Constrained Gaussian-Process State-Space Models for Online Magnetic-Field Estimation Multiple Gaussian Processes based Extended Target Tracking with Variational Inference Extended target PMBM tracker with a Gaussian Process target model on LiDAR data Distributed multi-agent magnetic field norm SLAM with Gaussian processes
Gaussian processes regression	Extended Target Tracking With a Lidar Sensor Using Random Matrices and a Gaussian Processes Regression Model
Gaussian random fields	A multi-object Kalman filter for Gaussian random fields with point process measurements
Gaussian scale mixture	A Gaussian Integral Filter with Multivariate Laplace Process Noise
Gaussian Wasserstein Distance	Evaluation Scores for Elliptic Extended Object Tracking Considering Diverse Object Sizes
generalization bounds	Study of Overfitting by Machine Learning Methods Using Generalization Equations
generalized entropy	Cross-Entropy and Relative Entropy of Basic Belief Assignments
generalized labeled multi-Bernoulli	Large-Scale Space Object Tracking in a Proliferated LEO Scenario
generalized variational inference	Stein Variational Gradient Descent for Non-Bayesian Particle Flow
Geophone network	Elephant DOA Estimation using a Geophone Network
Ghost track	Ghost Track Detection in Multitarget Tracking using LSTM Network
Gibbs point process	A multi-object Kalman filter for Gaussian random fields with point process measurements
Gibbs Sampling	On Gibbs Sampling Architecture for Labeled Random Finite Sets Multi-Object Tracking An Efficient Implementation of the Extended Object Trajectory PMB Filter Using Blocked Gibbs Sampling
global search	Computational Algorithms for Acoustic Signals Direction of Arrival and Sound Speed Estimation
GOSPA	Advances in Multi-Target Tracking Performance Evaluation GOSPA-Driven Gaussian Bernoulli Sensor Management
GPU Acceleration	Multi-Target Tracking with GPU-Accelerated Data Association Engine
Graphs and Networks	A solution to the electrical urban transit routing problem with heterogeneous characteristics
Guyed towers	Enhancing Disaster Management of Guyed Towers through Machine Learning-Based Data Fusion
H
hand-eye calibration	Automatic Estimation of Ship-Mounted Cameras' Orientation by Hand-Eye Calibration
Herded Gibbs sampling	Deterministic Multi-sensor Measurement-adaptive Birth using Labeled Random Finite Sets
Hesitant Fuzzy Set
heterogeneous environment	Multi-frame Detection for Dim Target under Heterogeneous Clutter in Airborne Radars
high dimensionality	Exercise and Sedentary Activity Recognition Using Late Fusion: Building Adaptable Uncertain Models
High-Level Information Fusion	URREF Risk analysis towards Data Fusion Certification
High-rate	Optimal Sampling Methodologies for High-rate Structural Twinning
history	Closing the Ivory Validation Gates: A Historical Analysis of Achkasov’s Data Association Filters
Human activity recognition	Exercise and Sedentary Activity Recognition Using Late Fusion: Building Adaptable Uncertain Models Weighted Fusion of Multiple Classifiers for Human Activity Recognition
Human belief-models	Sequential Processing of Observations in Human Decision-Making Systems
Human Object Detection	Enhance Public Safety Surveillance in Smart Cities by Fusing Optical and Thermal Cameras
Human-Machine Teaming	On the Use of Real-Time Multi-Object Detection and Classification for Automated Assessment of Operator Visual Attention Allocation
hybrid model	Hybrid Quantum-Classical Neural Network for Incident Detection
Hybrid models	Late Meta-learning Fusion Using Representation Learning for Time Series Forecasting
Hybrid Thermal-Optical Cameras	Enhance Public Safety Surveillance in Smart Cities by Fusing Optical and Thermal Cameras
Hyper-heuristic	A solution to the electrical urban transit routing problem with heterogeneous characteristics
hyper-parameter tuning	Study of Overfitting by Machine Learning Methods Using Generalization Equations
Hypothesis Testing	Sequential Processing of Observations in Human Decision-Making Systems
I
Image Enhancement
image fusion	MobileFuse: Multimodal Image Fusion at the Edge
Image processing	Modeling Inter-Vehicle Occlusion Scenarios in Multi-Camera Traffic Surveillance Systems
image-source method	Simultaneous Sensor and Sound Source Localization in Urban Environments
incident	Hybrid Quantum-Classical Neural Network for Incident Detection
Indoor localization	Large-scale magnetic field maps using structured kernel interpolation for Gaussian process regression
inertial measurement unit	On-Sensor Online Learning and Classification Under 8 KB Memory
Inertial Sensors	Motion Tracking with Coupled Magnetometers and Dynamic IMU Measurement Fusion in Nonuniform Magnetic Fields
Information fusion	Multiscan Shape Estimation for Extended Object Tracking Approximate fusion of probability density functions using Gaussian copulas
Information Fusion for situation understanding	URREF Risk analysis towards Data Fusion Certification
Information quality	Evaluation of Counter Unmanned Aerial Systems through the levels
information reduction factor	Power Allocation for Multi-Target Tracking in Netted Radar System under Suppression Jamming
information theory	Stein Variational Gradient Descent for Non-Bayesian Particle Flow Measuring Multi-Source Redundancy in Factor Graphs
Information value	Sequential Source Selection Based On Evidential Value of Information
Input-state-parameter estimation problems	Joint Estimation of Vessel Parameter-Motion and Sea State
intention estimation	Intention Estimation with Recurrent Neural Networks for Mixed Reality Environments
intention recognition	Intention Estimation with Recurrent Neural Networks for Mixed Reality Environments
Interactive multiple model	A Novel Method for Maneuvering Extended Vehicle Tracking with Automotive Radar
Interactive system	Co-embedding Multi-type Data for Information Fusion and Visual Analytics
IPDA	WakeIPDA: Target tracking with existence modeling in the presence of wakes
Iterated filtering	Iterated Filters for Nonlinear Transition Models
J
JIPDA	The linear multitarget IPDA and its application on only a subset of the tracks.
joint detection and tracking	Joint Emitter Detection and Tracking Based on the Bernoulli Filter
Joint integrated probabilistic data association (JIPDA)	Variations of Joint Integrated Data Association With Radar and Target-Provided Measurements
joint probabilistic data association	Closing the Ivory Validation Gates: A Historical Analysis of Achkasov’s Data Association Filters
JPDA	Closing the Ivory Validation Gates: A Historical Analysis of Achkasov’s Data Association Filters
Jump Markov nonlinear systems	On the approximation of the quotient of two Gaussian densities for multiple-model smoothing
K
Kalman filter	A multi-object Kalman filter for Gaussian random fields with point process measurements Elephant DOA Estimation using a Geophone Network Mismatched Filter Design Applied to 1D and 2D Sinusoidal Models Distributed Swarm Navigation with Factored Filters Nonlinearity-Aware Partial-Update Schmidt Kalman Filter
Kalman filtering	L:OMEM - A fast filter to track maneuvering extended objects
Kalman filters	Iterated Filters for Nonlinear Transition Models
Kalman-like estimation	Maximum Correntropy Two-Filter Smoothing
kernel estimation	A Variational Method with Kernel Estimation and Low Rank Prior for Pansharpening
key features	Identifying Key Features in Aggregated Real-Life AIS-Messages for Classification of Maritime Vessels by Random Forests
kinematic model	Approximate First-Passage Time Distributions for Gaussian Motion and Transportation Models
Knowledge distillation	Holistic Self-Distillation with the Squeeze and Excitation Network for Fine-grained Plant Pathology Classification
Knowledge map	Dual occupancy and knowledge maps management for optimal traversability risk analysis
Kohonen	Classification of Warship Formations Using a Kohonen Network
Kullback-Leibler divergence	Adaptive Mixture Model Reduction based on the Composite Transportation Dissimilarity Cross-Entropy and Relative Entropy of Basic Belief Assignments Labeled Probability Hypothesis Density Filtering for Track-Before-Detect Strategy
Kullback-Leibler divergence (KLD)	On the approximation of the quotient of two Gaussian densities for multiple-model smoothing
L
Labeled probability hypothesis density	Labeled Probability Hypothesis Density Filtering for Track-Before-Detect Strategy
Labeled Random Finite Set Filtering	The Product Multi-Sensor Labeled Multi-Bernoulli Filter
labeled random finite sets	The Fast Product Multi-Sensor Labeled Multi-Bernoulli Filter
Land cover classification	Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland
Large language models	Uncertain about ChatGPT: enabling the uncertainty evaluation of large language models
large-scale systems	Approximate Bayesian State Estimation for Active Fault Diagnosis of Large-Scale Systems
late fusion	Exercise and Sedentary Activity Recognition Using Late Fusion: Building Adaptable Uncertain Models
lidar	Extended Target Tracking With a Lidar Sensor Using Random Matrices and a Gaussian Processes Regression Model Shape Tracking Using Fourier-Chebyshev Double Series for 3D Distance Measurements Multimodal Early Fusion of Automotive Sensors based on Autoencoder Network: An anchor-free approach for Vehicle 3D Detection
Life-Cycles	Qualitative Models of Data Generation Processes: Facilitating Data-Intensive AI Solutions
linear-multitarget	The linear multitarget IPDA and its application on only a subset of the tracks.
Linguistic
local eigenvalue modification procedure	Optimal Sampling Methodologies for High-rate Structural Twinning
localization	Ensemble Gaussian Mixture Filtering with Particle-localized Covariances
Long Short Term Memory	Ghost Track Detection in Multitarget Tracking using LSTM Network
low rank	A Variational Method with Kernel Estimation and Low Rank Prior for Pansharpening
lower and upper probabilities	Bounded Subjective Opinions
LSTM	Intention Estimation with Recurrent Neural Networks for Mixed Reality Environments
Lévy process	Inference for Variance-Gamma Driven Stochastic Systems
M
machine learning	Comparison of Classification Techniques for Extremism Detection in French Social Media Exercise and Sedentary Activity Recognition Using Late Fusion: Building Adaptable Uncertain Models On the Use of Real-Time Multi-Object Detection and Classification for Automated Assessment of Operator Visual Attention Allocation Qualitative Models of Data Generation Processes: Facilitating Data-Intensive AI Solutions Intention Estimation with Recurrent Neural Networks for Mixed Reality Environments Learning IMM Filter Parameters from Measurements using Gradient Descent Study of Overfitting by Machine Learning Methods Using Generalization Equations Ghost Track Detection in Multitarget Tracking using LSTM Network Enhancing Disaster Management of Guyed Towers through Machine Learning-Based Data Fusion
magnetic field	Mapping the magnetic field using a magnetometer array with noisy input Gaussian process regression
Magnetic field maps	Large-scale magnetic field maps using structured kernel interpolation for Gaussian process regression
magnetometer	Identifying Aircraft Motions and Patterns from Magnetometry Data Using a Knowledge-Based Multi-Fusion Approach
Magnetometers	Motion Tracking with Coupled Magnetometers and Dynamic IMU Measurement Fusion in Nonuniform Magnetic Fields
maneuvering objects	L:OMEM - A fast filter to track maneuvering extended objects
maneuvering target	Mismatched Filter Design Applied to 1D and 2D Sinusoidal Models
maneuvering target tracking	A Novel Method for Maneuvering Extended Vehicle Tracking with Automotive Radar A Gaussian Integral Filter with Multivariate Laplace Process Noise Model-based Deep Learning for Maneuvering Target Tracking
mapping	Constrained Gaussian-Process State-Space Models for Online Magnetic-Field Estimation Mapping the magnetic field using a magnetometer array with noisy input Gaussian process regression
Marginalized particle filter	When Does the Marginalized Particle Filter Degenerate?
maritime	Maritime radar odometry inspired by visual odometry
maritime surveillance systems	Identifying Key Features in Aggregated Real-Life AIS-Messages for Classification of Maritime Vessels by Random Forests
Markov Chain Monte Carlo	On Gibbs Sampling Architecture for Labeled Random Finite Sets Multi-Object Tracking
Markov Decision Process	Scheduling Condition-based Maintenance: An Explainable Deep Reinforcement Learning Approach via Reward Decomposition
Mass-spring-damper system	Joint Estimation of Vessel Parameter-Motion and Sea State
maximizing the correntropy	Maximum Correntropy Two-Filter Smoothing
Measurement adaptive birth	Deterministic Multi-sensor Measurement-adaptive Birth using Labeled Random Finite Sets
measurement equation	Bounding Box Detection in Visual Tracking: Measurement Model Parameter Estimation
measurement-to-measurement association	Measurement-to-Measurement Association for MDA with A Practical Coarse Gating Strategy
measurement-to-track association	Interframe Association of YOLO Bounding Boxes in the Presence of Camera Panning and Zooming
measurements	Measurement and Track Fusion at the System Level
merged measurements	On Multitarget Tracking with Possibly Unresolved Measurements
message passing	On Multitarget Tracking with Possibly Unresolved Measurements
meta-learning	Generic Multimodal Gradient-based Meta Learner Framework Late Meta-learning Fusion Using Representation Learning for Time Series Forecasting
Metrics	GOSPA-Driven Gaussian Bernoulli Sensor Management
microphone array	Simultaneous Sensor and Sound Source Localization in Urban Environments
Mission Impact Assessment	Software-Friendly Subjective Bayesian Networks: Reasoning within a Software-Centric Mission Impact Assessment Framework
Mixed Integer Linear Programming	Multi-Target Tracking with GPU-Accelerated Data Association Engine
mixed reality	Intention Estimation with Recurrent Neural Networks for Mixed Reality Environments
Mixture Reduction	Adaptive Mixture Model Reduction based on the Composite Transportation Dissimilarity
Modal	Optimal Sampling Methodologies for High-rate Structural Twinning
Model fusion	Late Meta-learning Fusion Using Representation Learning for Time Series Forecasting
Model Selection	Adaptive Mixture Model Reduction based on the Composite Transportation Dissimilarity
model uncertainty	Exercise and Sedentary Activity Recognition Using Late Fusion: Building Adaptable Uncertain Models
model-based clustering	On the Spherical Laplace Distribution
Model-based deep learning	Model-based Deep Learning for Maneuvering Target Tracking
Modelling Complexity	Qualitative Models of Data Generation Processes: Facilitating Data-Intensive AI Solutions
Monte Carlo method	Software-Friendly Subjective Bayesian Networks: Reasoning within a Software-Centric Mission Impact Assessment Framework
Monte Carlo Tree Search	Dual Control Inspired Active Sensing for Bearing-Only Target Tracking Decentralized Decision Making over Random Graphs
Morph attack	Robust Face Morphing Attack Detection Using Fusion of Multiple Features and Classification Techniques
Morphing	Robust Face Morphing Attack Detection Using Fusion of Multiple Features and Classification Techniques
Morphing attack	Robust Face Morphing Attack Detection Using Fusion of Multiple Features and Classification Techniques
Motion Tracking	Motion Tracking with Coupled Magnetometers and Dynamic IMU Measurement Fusion in Nonuniform Magnetic Fields
motion vector	Identifying Aircraft Motions and Patterns from Magnetometry Data Using a Knowledge-Based Multi-Fusion Approach
MPC	Reinforcement Learning based Guidance Policy Optimization for a Swarm of Cooperative Sensor Platforms Tracking a Single Target
Multi agent	Distributed multi-agent magnetic field norm SLAM with Gaussian processes
Multi Dimensional Assignment	Multi-Target Tracking with GPU-Accelerated Data Association Engine
Multi-Agent System	Statistical Detection of Coordination in a Cognitive Radar Network through Inverse Multi-Objective Optimization
Multi-Agent-Reinforcement-Learning	Reinforcement Learning based Guidance Policy Optimization for a Swarm of Cooperative Sensor Platforms Tracking a Single Target
Multi-camera setup	Modeling Inter-Vehicle Occlusion Scenarios in Multi-Camera Traffic Surveillance Systems
multi-fidelity	Large-Scale Space Object Tracking in a Proliferated LEO Scenario
multi-frame detection	Multi-frame Detection for Dim Target under Heterogeneous Clutter in Airborne Radars
Multi-modal models	Few-shot Domain-Adaptative Visually Fused Event Detection from Text
Multi-Object Tracking	On Gibbs Sampling Architecture for Labeled Random Finite Sets Multi-Object Tracking On the Use of Real-Time Multi-Object Detection and Classification for Automated Assessment of Operator Visual Attention Allocation An Efficient Implementation of the Extended Object Trajectory PMB Filter Using Blocked Gibbs Sampling
Multi-Objective Optimization	Statistical Detection of Coordination in a Cognitive Radar Network through Inverse Multi-Objective Optimization
multi-sensor	Large-Scale Space Object Tracking in a Proliferated LEO Scenario
multi-sensor fusion	Sampling-based Track-to-Track Association
Multi-Sensor Multi-Object Tracking	The Product Multi-Sensor Labeled Multi-Bernoulli Filter The Fast Product Multi-Sensor Labeled Multi-Bernoulli Filter
multi-sensor nonlinear Kalman filtering	Online Performance Assessment of Multi-Sensor Kalman Filters Based on Subjective Logic
Multi-source reasoning	Sequential Source Selection Based On Evidential Value of Information
multi-target	Large-Scale Space Object Tracking in a Proliferated LEO Scenario
Multi-Target Tracking	Modeling Inter-Vehicle Occlusion Scenarios in Multi-Camera Traffic Surveillance Systems Multi-Target Tracking with GPU-Accelerated Data Association Engine On the Use of Real-Time Multi-Object Detection and Classification for Automated Assessment of Operator Visual Attention Allocation Advances in Multi-Target Tracking Performance Evaluation Extended target PMBM tracker with a Gaussian Process target model on LiDAR data Lossless Processing and the Limits of Trackability in MHT Flexible Multi-Target Tracking with Track Management Using Dirichlet and Gaussian Processes Variations of Joint Integrated Data Association With Radar and Target-Provided Measurements
multiagent systems	Geometry-Aware Distributed Kalman Filtering for Affine Formation Control under Observation Losses
multidimensional assignment	Measurement-to-Measurement Association for MDA with A Practical Coarse Gating Strategy
multimodal	Generic Multimodal Gradient-based Meta Learner Framework Reinforcement Learning-based Autonomous Sensor Control via Simultaneous Learning of Policies and State-Action Spaces
multimodality	MobileFuse: Multimodal Image Fusion at the Edge
Multipath	Ghost Track Detection in Multitarget Tracking using LSTM Network GLRT Particle Filter for Non-Line of Sight Moving Target Tracking via Phased Array Radar
multiple classifiers fusion	Weighted Fusion of Multiple Classifiers for Human Activity Recognition
Multiple Hypothesis Tracking	Belief propagation for marginal probabilities in multiple hypothesis tracking Lossless Processing and the Limits of Trackability in MHT
multiple measurement data association	Multipath-based SLAM with Multiple-Measurement Data Association
multitarget tracking	Interframe Association of YOLO Bounding Boxes in the Presence of Camera Panning and Zooming
Multitarget-Multidetection Tracking	Multitarget-Multidetection Tracking Using the Kernel SME Filter
Multitarget-Tracking	Multitarget-Multidetection Tracking Using the Kernel SME Filter
multivariate Laplace	A Gaussian Integral Filter with Multivariate Laplace Process Noise
multivariate timeseries	Unsupervised anomaly detection under a multiple modeling strategy via model set optimization through transfer learning
N
Natural gradient descent	On the approximation of the quotient of two Gaussian densities for multiple-model smoothing
natural language processing	Comparison of Classification Techniques for Extremism Detection in French Social Media Few-shot Domain-Adaptative Visually Fused Event Detection from Text
navigation	Navigation in Shallow Water Using Passive Acoustic Ranging Towards Terrain-Based Navigation Using Side-scan Sonar Distributed Swarm Navigation with Factored Filters Maritime radar odometry inspired by visual odometry
Nearest positive definite matrix	On the approximation of the quotient of two Gaussian densities for multiple-model smoothing
Netted radar system	Power Allocation for Multi-Target Tracking in Netted Radar System under Suppression Jamming
Network-centric estimation	Track-To-Track Association for Fusion of Dimension-Reduced Estimates
neural networks	Computational Algorithms for Acoustic Signals Direction of Arrival and Sound Speed Estimation
NLOS target tracking	GLRT Particle Filter for Non-Line of Sight Moving Target Tracking via Phased Array Radar
NLP	Uncertain about ChatGPT: enabling the uncertainty evaluation of large language models
noise covariance estimation	Bounding Box Dynamics in Visual Tracking: Modeling and Noise Covariance Estimation Bounding Box Detection in Visual Tracking: Measurement Model Parameter Estimation
noisy inputs	Mapping the magnetic field using a magnetometer array with noisy input Gaussian process regression
non-Bayesian estimation	Stein Variational Gradient Descent for Non-Bayesian Particle Flow
non-Gaussian noises	Maximum Correntropy Two-Filter Smoothing
non-Gaussian stochastic process	Inference for Variance-Gamma Driven Stochastic Systems
non-uniform sampling	Deterministic Sampling of Arbitrary Densities Using Equal Sphere Packing of Volume under the Density (PoVuD)
nonlinear filtering	Iterated Filters for Nonlinear Transition Models Progressive Bayesian Particle Flows based on Optimal Transport Map Sequences Stein Variational Gradient Descent for Non-Bayesian Particle Flow L:OMEM - A fast filter to track maneuvering extended objects Deterministic Sampling of Arbitrary Densities Using Equal Sphere Packing of Volume under the Density (PoVuD) Approximate fusion of probability density functions using Gaussian copulas Inference for Variance-Gamma Driven Stochastic Systems
nonlinear optimization	Deterministic Sampling of Arbitrary Densities Using Equal Sphere Packing of Volume under the Density (PoVuD)
Nonlinearity	Nonlinearity-Aware Partial-Update Schmidt Kalman Filter
Nonuniform Magnetic Field	Motion Tracking with Coupled Magnetometers and Dynamic IMU Measurement Fusion in Nonuniform Magnetic Fields
Normalizing Flows	Deep Normalizing Flows for State Estimation
O
object detection	Improved Multi-Scale Grid Rendering of Point Clouds for Radar Object Detection Networks Out-of-distribution Object Detection through Bayesian Uncertainty Estimation
Observability	Observability of Bias of Measurements in Bearings-Only Target Motion Analysis
observation cones	Target search with a radar on an airborne platform
Occlusion modeling	Modeling Inter-Vehicle Occlusion Scenarios in Multi-Camera Traffic Surveillance Systems
Occupancy grid	Dual occupancy and knowledge maps management for optimal traversability risk analysis
odometry	Maritime radar odometry inspired by visual odometry
online data	Comparison of Classification Techniques for Extremism Detection in French Social Media
online learning	Reinforcement Learning-based Autonomous Sensor Control via Simultaneous Learning of Policies and State-Action Spaces On-Sensor Online Learning and Classification Under 8 KB Memory
online self-assessment	Online Performance Assessment of Multi-Sensor Kalman Filters Based on Subjective Logic
Ontology	Evaluation of Counter Unmanned Aerial Systems through the levels
open source	Stone Soup: No Longer Just an Appetiser
Optimal Observer Maneuvers	Reinforcement Learning based Guidance Policy Optimization for a Swarm of Cooperative Sensor Platforms Tracking a Single Target
Optimal Transport Theory	Adaptive Mixture Model Reduction based on the Composite Transportation Dissimilarity
Optimisation Algorithms	A solution to the electrical urban transit routing problem with heterogeneous characteristics
Optimization	Learning IMM Filter Parameters from Measurements using Gradient Descent A Method of Efficiently Evaluating Radar Performance Models Using Upper Bounds
out-of-distribution detection	Out-of-distribution Object Detection through Bayesian Uncertainty Estimation
over-fitting	Study of Overfitting by Machine Learning Methods Using Generalization Equations
P
pansharpening	A Variational Method with Kernel Estimation and Low Rank Prior for Pansharpening
parameter estimation	Computational Algorithms for Acoustic Signals Direction of Arrival and Sound Speed Estimation
partial information decomposition	Measuring Multi-Source Redundancy in Factor Graphs
partial least squares	Computational Algorithms for Acoustic Signals Direction of Arrival and Sound Speed Estimation
Partial-update	Nonlinearity-Aware Partial-Update Schmidt Kalman Filter
Partially Observable Markov Decision Process	Dual Control Inspired Active Sensing for Bearing-Only Target Tracking
particle filter	When Does the Marginalized Particle Filter Degenerate? Improved Extended Object Tracking with Efficient Particle-based Orientation Estimation GLRT Particle Filter for Non-Line of Sight Moving Target Tracking via Phased Array Radar Inference for Variance-Gamma Driven Stochastic Systems
particle filtering	Constrained Gaussian-Process State-Space Models for Online Magnetic-Field Estimation Navigation in Shallow Water Using Passive Acoustic Ranging Towards Terrain-Based Navigation Using Side-scan Sonar
particle flow	Progressive Bayesian Particle Flows based on Optimal Transport Map Sequences Stein Variational Gradient Descent for Non-Bayesian Particle Flow
Passive Acoustics	Navigation in Shallow Water Using Passive Acoustic Ranging
passive radar	Accurate Passive Radar via an Uncertainty-Aware Fusion of Wi-Fi Sensing Data
PCRLB	Power Allocation for Multi-Target Tracking in Netted Radar System under Suppression Jamming
PDA	Closing the Ivory Validation Gates: A Historical Analysis of Achkasov’s Data Association Filters
performance evaluation	Identifying Key Features in Aggregated Real-Life AIS-Messages for Classification of Maritime Vessels by Random Forests Advances in Multi-Target Tracking Performance Evaluation
Performance Limits	Lossless Processing and the Limits of Trackability in MHT
periodic parameter estimation	Periodic Fisher-Scoring Algorithm with Applications for DOA Estimation in Seismic Arrays
Personalized monitoring system	DEMDE: Decision Making Design based on Bayesian Network for Personalized Monitoring System
PHD filter	The linear multitarget IPDA and its application on only a subset of the tracks.
Plant pathology	Holistic Self-Distillation with the Squeeze and Excitation Network for Fine-grained Plant Pathology Classification
point cloud processing	Improved Multi-Scale Grid Rendering of Point Clouds for Radar Object Detection Networks
Point-mass filter	Design of Efficient Point-Mass Filter with Terrain Aided Navigation Illustration
Poisson intensity	The linear multitarget IPDA and its application on only a subset of the tracks.
Poisson multi-Bernoulli mixture filter	Belief propagation for marginal probabilities in multiple hypothesis tracking
position uncertainty	Simultaneous Sensor and Sound Source Localization in Urban Environments
positioning	Maritime radar odometry inspired by visual odometry
power allocation	Power Allocation for Multi-Target Tracking in Netted Radar System under Suppression Jamming
PPO	Reinforcement Learning based Guidance Policy Optimization for a Swarm of Cooperative Sensor Platforms Tracking a Single Target
Precision agriculture	Holistic Self-Distillation with the Squeeze and Excitation Network for Fine-grained Plant Pathology Classification
Predictive models	A Method of Efficiently Evaluating Radar Performance Models Using Upper Bounds
probabilistic data association	Closing the Ivory Validation Gates: A Historical Analysis of Achkasov’s Data Association Filters
probabilistic motion model	Approximate First-Passage Time Distributions for Gaussian Motion and Transportation Models
probability density function	Deterministic Sampling of Arbitrary Densities Using Equal Sphere Packing of Volume under the Density (PoVuD)
probability generating functionals	Stochastic flows – a primer on early multi-object filtering work with point processes
probability of detection	Bounding Box Detection in Visual Tracking: Measurement Model Parameter Estimation
process noise	Mismatched Filter Design Applied to 1D and 2D Sinusoidal Models
Q
Q-learning	Scheduling Condition-based Maintenance: An Explainable Deep Reinforcement Learning Approach via Reward Decomposition
Qualitative Causal Models	Qualitative Models of Data Generation Processes: Facilitating Data-Intensive AI Solutions
Quality of service	A Method of Efficiently Evaluating Radar Performance Models Using Upper Bounds
Quantification data	Avoiding quantification effect in the vertical trajectory reconstruction filtering system
quantum conventional correlations	Game-Theoretic Strategies for Quantum-Conventional Network Infrastructures
quantum conventional networks	Game-Theoretic Strategies for Quantum-Conventional Network Infrastructures
Quotient of two multivariate Gaussian densities	On the approximation of the quotient of two Gaussian densities for multiple-model smoothing
R
radar	Maritime radar odometry inspired by visual odometry Multimodal Early Fusion of Automotive Sensors based on Autoencoder Network: An anchor-free approach for Vehicle 3D Detection Variations of Joint Integrated Data Association With Radar and Target-Provided Measurements
Radar measurements	A Method of Efficiently Evaluating Radar Performance Models Using Upper Bounds
Radar tracking	A Method of Efficiently Evaluating Radar Performance Models Using Upper Bounds WakeIPDA: Target tracking with existence modeling in the presence of wakes
random finite set	Joint Emitter Detection and Tracking Based on the Bernoulli Filter
Random finite sets	On Gibbs Sampling Architecture for Labeled Random Finite Sets Multi-Object Tracking Deterministic Multi-sensor Measurement-adaptive Birth using Labeled Random Finite Sets
random forests	Identifying Key Features in Aggregated Real-Life AIS-Messages for Classification of Maritime Vessels by Random Forests
random graphs	Decentralized Decision Making over Random Graphs
random matrices	Extended Target Tracking With a Lidar Sensor Using Random Matrices and a Gaussian Processes Regression Model
Rao-Blackwellisation	A Scalable Rao-Blackwellised Sequential MCMC Sampler for Joint Detection and Tracking in Clutter
Rao-Blackwellized particle filter	When Does the Marginalized Particle Filter Degenerate?
ray tracing simulation	GLRT Particle Filter for Non-Line of Sight Moving Target Tracking via Phased Array Radar
real-time	Hybrid Quantum-Classical Neural Network for Incident Detection
real-time modeling	Optimal Sampling Methodologies for High-rate Structural Twinning
real-world data modelling	UAV airframe classification based on trajectory data in UTM collaborative environments
Real-world problem	Avoiding quantification effect in the vertical trajectory reconstruction filtering system
Reasoning and Decision Making
received signal strength indicator	Joint Emitter Detection and Tracking Based on the Bernoulli Filter
recurrent neural network	Intention Estimation with Recurrent Neural Networks for Mixed Reality Environments
recursive system of systems	Game-Theoretic Strategies for Quantum-Conventional Network Infrastructures
redundancy	Measuring Multi-Source Redundancy in Factor Graphs
reference model	Extended Target Tracking With a Lidar Sensor Using Random Matrices and a Gaussian Processes Regression Model
reflected wave	Simultaneous Sensor and Sound Source Localization in Urban Environments
regression	Study of Overfitting by Machine Learning Methods Using Generalization Equations
reinforcement learning	Reinforcement Learning-based Autonomous Sensor Control via Simultaneous Learning of Policies and State-Action Spaces
relative entropy	Cross-Entropy and Relative Entropy of Basic Belief Assignments
relative time difference of arrival	Simultaneous Sensor and Sound Source Localization in Urban Environments
Reliability	Deep classifiers evidential fusion with reliability
Remote sensing	Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland
Remote sensing image	MCTNet: A Multi-Scale CNN-Transformer Network for Change Detection in Optical Remote Sensing Images
Representation learning	Late Meta-learning Fusion Using Representation Learning for Time Series Forecasting
Resource management	A Method of Efficiently Evaluating Radar Performance Models Using Upper Bounds
Retinex Theory
reversible jump sequential MCMC	A Scalable Rao-Blackwellised Sequential MCMC Sampler for Joint Detection and Tracking in Clutter
Reward Decomposition	Scheduling Condition-based Maintenance: An Explainable Deep Reinforcement Learning Approach via Reward Decomposition
RFS	The linear multitarget IPDA and its application on only a subset of the tracks.
Risk assessment	Dual occupancy and knowledge maps management for optimal traversability risk analysis
Robotics	Deep Normalizing Flows for State Estimation
Robust	Nonlinearity-Aware Partial-Update Schmidt Kalman Filter
robust inference	On the Spherical Laplace Distribution
Routing	A solution to the electrical urban transit routing problem with heterogeneous characteristics
S
sampling	Sampling-based Track-to-Track Association
sampling theory	Deterministic Sampling of Arbitrary Densities Using Equal Sphere Packing of Volume under the Density (PoVuD)
Schmidt filter	Nonlinearity-Aware Partial-Update Schmidt Kalman Filter
Sea waves	Joint Estimation of Vessel Parameter-Motion and Sea State
Second Order Uncertainty	Software-Friendly Subjective Bayesian Networks: Reasoning within a Software-Centric Mission Impact Assessment Framework
Segmentation	On the Use of Real-Time Multi-Object Detection and Classification for Automated Assessment of Operator Visual Attention Allocation On-Sensor Online Learning and Classification Under 8 KB Memory
seismic arrays	Periodic Fisher-Scoring Algorithm with Applications for DOA Estimation in Seismic Arrays
Self-knowledge distillation	Holistic Self-Distillation with the Squeeze and Excitation Network for Fine-grained Plant Pathology Classification
Semantic segmentation	Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland
sensor array	Mapping the magnetic field using a magnetometer array with noisy input Gaussian process regression
sensor fusion	Geometry-Aware Distributed Kalman Filtering for Affine Formation Control under Observation Losses Reinforcement Learning-based Autonomous Sensor Control via Simultaneous Learning of Policies and State-Action Spaces
Sensor management	Non-myopic Sensor Path Planning for Emitter Localization with a UAV GOSPA-Driven Gaussian Bernoulli Sensor Management Reinforcement Learning based Guidance Policy Optimization for a Swarm of Cooperative Sensor Platforms Tracking a Single Target
sensor path planning	Non-myopic Sensor Path Planning for Emitter Localization with a UAV
sensor registration	Joint bias and target state estimation based on Doppler sensors
sequential filtering	Ensemble Gaussian Mixture Filtering with Particle-localized Covariances
sequential Monte Carlo	Inference for Variance-Gamma Driven Stochastic Systems
Sequential Monte Carlo implementation	Labeled Probability Hypothesis Density Filtering for Track-Before-Detect Strategy
Sequential observations	Sequential Processing of Observations in Human Decision-Making Systems
sequential quadratic programming	Computational Algorithms for Acoustic Signals Direction of Arrival and Sound Speed Estimation
sets of trajectories	An Efficient Implementation of the Extended Object Trajectory PMB Filter Using Blocked Gibbs Sampling
Side-scan sonar	Towards Terrain-Based Navigation Using Side-scan Sonar
simultaneous localization and mapping	Multipath-based SLAM with Multiple-Measurement Data Association
singular	Computational Algorithms for Acoustic Signals Direction of Arrival and Sound Speed Estimation
Situational Awareness	On the Use of Real-Time Multi-Object Detection and Classification for Automated Assessment of Operator Visual Attention Allocation Reinforcement Learning-based Autonomous Sensor Control via Simultaneous Learning of Policies and State-Action Spaces Multiscan Shape Estimation for Extended Object Tracking
SLAM	Distributed multi-agent magnetic field norm SLAM with Gaussian processes Measuring Multi-Source Redundancy in Factor Graphs
Smart Public Safety	Enhance Public Safety Surveillance in Smart Cities by Fusing Optical and Thermal Cameras
Solution separation	Fault Detection in Resilient Time Provision
sonar	Computational Algorithms for Acoustic Signals Direction of Arrival and Sound Speed Estimation
source localization	Simultaneous Sensor and Sound Source Localization in Urban Environments
Source quality	Evaluation of Counter Unmanned Aerial Systems through the levels
Soviet engineering	Closing the Ivory Validation Gates: A Historical Analysis of Achkasov’s Data Association Filters
space domain awareness	Large-Scale Space Object Tracking in a Proliferated LEO Scenario
space-time adaptive processing	Multi-frame Detection for Dim Target under Heterogeneous Clutter in Airborne Radars
spatio-temporal data	Identifying Aircraft Motions and Patterns from Magnetometry Data Using a Knowledge-Based Multi-Fusion Approach
spherical Laplace distribution	On the Spherical Laplace Distribution
State estimation	Motion Tracking with Coupled Magnetometers and Dynamic IMU Measurement Fusion in Nonuniform Magnetic Fields Approximate Bayesian State Estimation for Active Fault Diagnosis of Large-Scale Systems Design of Efficient Point-Mass Filter with Terrain Aided Navigation Illustration The Fast Product Multi-Sensor Labeled Multi-Bernoulli Filter Deep Normalizing Flows for State Estimation Fault Detection in Resilient Time Provision
state prediction	Model-based Deep Learning for Maneuvering Target Tracking
state smoothing	Maximum Correntropy Two-Filter Smoothing
state-space models	Model-based Deep Learning for Maneuvering Target Tracking
Statistical Detection	Statistical Detection of Coordination in a Cognitive Radar Network through Inverse Multi-Objective Optimization
statistical estimation	Ensemble Kalman Filter with Bayesian Recursive Update
statistical inference	Stein Variational Gradient Descent for Non-Bayesian Particle Flow
stochastic differential equation	Inference for Variance-Gamma Driven Stochastic Systems
Stochastic flow	Stochastic flows – a primer on early multi-object filtering work with point processes
structural health monitoring	Optimal Sampling Methodologies for High-rate Structural Twinning
structure-from-motion	Automatic Estimation of Ship-Mounted Cameras' Orientation by Hand-Eye Calibration
Structured kernel interpolation	Large-scale magnetic field maps using structured kernel interpolation for Gaussian process regression
subjective Bayes	Approximate fusion of probability density functions using Gaussian copulas
Subjective Bayesian Networks	Software-Friendly Subjective Bayesian Networks: Reasoning within a Software-Centric Mission Impact Assessment Framework
subjective logic	Online Performance Assessment of Multi-Sensor Kalman Filters Based on Subjective Logic
subjective opinions	Bounded Subjective Opinions
sum-product algorithm	Multipath-based SLAM with Multiple-Measurement Data Association
suppression jamming	Power Allocation for Multi-Target Tracking in Netted Radar System under Suppression Jamming
surveillance with UAVs	Interframe Association of YOLO Bounding Boxes in the Presence of Camera Panning and Zooming
system identification	Adaptive Kalman Filter Tracking for Instantaneous Aircraft Flutter Monitoring
T
T2TF	Association of labellized tracks with low reliability covariance information: a track graph partitioning approach
target backtracking	Maximum Correntropy Two-Filter Smoothing
target localization	Computational Algorithms for Acoustic Signals Direction of Arrival and Sound Speed Estimation Joint bias and target state estimation based on Doppler sensors
target search	Target search with a radar on an airborne platform
Target tracking	Track-To-Track Association for Fusion of Dimension-Reduced Estimates Collaborative Bearing Estimation Using Set Membership Methods Improved Extended Object Tracking with Efficient Particle-based Orientation Estimation A Scalable Rao-Blackwellised Sequential MCMC Sampler for Joint Detection and Tracking in Clutter Computational Algorithms for Acoustic Signals Direction of Arrival and Sound Speed Estimation Deterministic Multi-sensor Measurement-adaptive Birth using Labeled Random Finite Sets Ghost Track Detection in Multitarget Tracking using LSTM Network A Method of Efficiently Evaluating Radar Performance Models Using Upper Bounds WakeIPDA: Target tracking with existence modeling in the presence of wakes
target-provided measurements	Variations of Joint Integrated Data Association With Radar and Target-Provided Measurements
Target-tracking	GOSPA-Driven Gaussian Bernoulli Sensor Management
TBD1	Split Happens! Imprecise and Negative Information in Gaussian Mixture Random Finite Set Filtering
TBD2	Split Happens! Imprecise and Negative Information in Gaussian Mixture Random Finite Set Filtering
TBD3	Split Happens! Imprecise and Negative Information in Gaussian Mixture Random Finite Set Filtering
template matching	On-Sensor Online Learning and Classification Under 8 KB Memory
Terrain-aided navigation	Design of Efficient Point-Mass Filter with Terrain Aided Navigation Illustration
throughput profile	Study of Overfitting by Machine Learning Methods Using Generalization Equations
Time scale	Fault Detection in Resilient Time Provision
tinyML	On-Sensor Online Learning and Classification Under 8 KB Memory
total least squares	Computational Algorithms for Acoustic Signals Direction of Arrival and Sound Speed Estimation
track deletion	Flexible Multi-Target Tracking with Track Management Using Dirichlet and Gaussian Processes
track graph	Association of labellized tracks with low reliability covariance information: a track graph partitioning approach
track initialization	The linear multitarget IPDA and its application on only a subset of the tracks.
track initiation	Flexible Multi-Target Tracking with Track Management Using Dirichlet and Gaussian Processes
track to target association	Association of labellized tracks with low reliability covariance information: a track graph partitioning approach
Track-before-detection	Labeled Probability Hypothesis Density Filtering for Track-Before-Detect Strategy
track-to-track association	Track-To-Track Association for Fusion of Dimension-Reduced Estimates Sampling-based Track-to-Track Association
tracking	Closing the Ivory Validation Gates: A Historical Analysis of Achkasov’s Data Association Filters Unbiased Electro-optical/Infrared Camera Angular Measurements and their Cross-Correlated Errors Mismatched Filter Design Applied to 1D and 2D Sinusoidal Models Learning IMM Filter Parameters from Measurements using Gradient Descent L:OMEM - A fast filter to track maneuvering extended objects Reinforcement Learning-based Autonomous Sensor Control via Simultaneous Learning of Policies and State-Action Spaces Stone Soup: No Longer Just an Appetiser Full State Information Transfer Across Adjacent Cameras in a Network Using Gauss Helmert Filters
tracks	Measurement and Track Fusion at the System Level
Traffic surveillance	Modeling Inter-Vehicle Occlusion Scenarios in Multi-Camera Traffic Surveillance Systems
trajectory data analysis	UAV airframe classification based on trajectory data in UTM collaborative environments
Trajectory reconstruction	Avoiding quantification effect in the vertical trajectory reconstruction filtering system
Transformer	MCTNet: A Multi-Scale CNN-Transformer Network for Change Detection in Optical Remote Sensing Images Deep Normalizing Flows for State Estimation
Transition probability matrix	Design of Efficient Point-Mass Filter with Terrain Aided Navigation Illustration
Transportation	A solution to the electrical urban transit routing problem with heterogeneous characteristics
U
UAV classification	UAV airframe classification based on trajectory data in UTM collaborative environments
UAV testing	Adaptive Kalman Filter Tracking for Instantaneous Aircraft Flutter Monitoring
uncertainty estimation	Out-of-distribution Object Detection through Bayesian Uncertainty Estimation
Uncertainty evaluation	Evaluation of Counter Unmanned Aerial Systems through the levels
uncertainty representation and reasoning	Uncertain about ChatGPT: enabling the uncertainty evaluation of large language models
Uncertainty Sets	Collaborative Bearing Estimation Using Set Membership Methods
Uncertainty theory	Evaluation of Counter Unmanned Aerial Systems through the levels
uncertainty-aware learning and reasoning	Accurate Passive Radar via an Uncertainty-Aware Fusion of Wi-Fi Sensing Data
Unmanned Aerial Vehicle	Software-Friendly Subjective Bayesian Networks: Reasoning within a Software-Centric Mission Impact Assessment Framework
unmanned aerial vehicles	Non-myopic Sensor Path Planning for Emitter Localization with a UAV
unresolved targets	On Multitarget Tracking with Possibly Unresolved Measurements
update rates	Measurement and Track Fusion at the System Level
urban environment	Simultaneous Sensor and Sound Source Localization in Urban Environments
URREF	Uncertain about ChatGPT: enabling the uncertainty evaluation of large language models
UV-C disinfection	Sweeping UV-C Disinfection: a Mathematical Approach
UV-C robots	Sweeping UV-C Disinfection: a Mathematical Approach
UV-C sweeping	Sweeping UV-C Disinfection: a Mathematical Approach
V
validation gate	Interframe Association of YOLO Bounding Boxes in the Presence of Camera Panning and Zooming
value decomposition	Computational Algorithms for Acoustic Signals Direction of Arrival and Sound Speed Estimation
Variance reduction	When Does the Marginalized Particle Filter Degenerate?
variational autoencoder	Accurate Passive Radar via an Uncertainty-Aware Fusion of Wi-Fi Sensing Data
variational Bayes	Multiple Gaussian Processes based Extended Target Tracking with Variational Inference
variational method	A Variational Method with Kernel Estimation and Low Rank Prior for Pansharpening
vehicle detection	Multimodal Early Fusion of Automotive Sensors based on Autoencoder Network: An anchor-free approach for Vehicle 3D Detection
Vehicle estimation	Bayesian Sensor Fusion for Joint Vehicle Localization and Road Mapping Using Onboard Sensors
vehicle quantum	Hybrid Quantum-Classical Neural Network for Incident Detection
Virtual Evidence	Software-Friendly Subjective Bayesian Networks: Reasoning within a Software-Centric Mission Impact Assessment Framework
Visual object tracking	Bounding Box Dynamics in Visual Tracking: Modeling and Noise Covariance Estimation
visual representation	Learning Empirical Bregman Divergence for Uncertain Distance Representation
Visual tracking	Bounding Box Detection in Visual Tracking: Measurement Model Parameter Estimation
Visualization	Co-embedding Multi-type Data for Information Fusion and Visual Analytics
VR	Intention Estimation with Recurrent Neural Networks for Mixed Reality Environments
W
Wake clutter	WakeIPDA: Target tracking with existence modeling in the presence of wakes
Warship Formation	Classification of Warship Formations Using a Kohonen Network
weaving target	Mismatched Filter Design Applied to 1D and 2D Sinusoidal Models
WGS 84	Probability Distributions in Coastal Regions for Association of Naval Vessels
X
XR	Intention Estimation with Recurrent Neural Networks for Mixed Reality Environments
Y
YOLO	Interframe Association of YOLO Bounding Boxes in the Presence of Camera Panning and Zooming
‍
‍Evaluation of Technologies for Uncertainty Reasoning	URREF Risk analysis towards Data Fusion Certification

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