Multipath-based SLAM with Multiple-Measurement Data Association (abstract)

On Multitarget Tracking with Possibly Unresolved Measurements (abstract)

Belief propagation for marginal probabilities in multiple hypothesis tracking (abstract)

Deep classifiers evidential fusion with reliability (abstract)

On the Use of Real-Time Multi-Object Detection and Classification for Automated Assessment of Operator Visual Attention Allocation (abstract)

UAV airframe classification based on trajectory data in UTM collaborative environments (abstract)

Fault Detection in Resilient Time Provision (abstract)

Nonlinearity-Aware Partial-Update Schmidt Kalman Filter (abstract)

Approximate Bayesian State Estimation for Active Fault Diagnosis of Large-Scale Systems (abstract)

Robust Face Morphing Attack Detection Using Fusion of Multiple Features and Classification Techniques (abstract)

MCTNet: A Multi-Scale CNN-Transformer Network for Change Detection in Optical Remote Sensing Images (abstract)

MobileFuse: Multimodal Image Fusion at the Edge (abstract)

Dual Control Inspired Active Sensing for Bearing-Only Target Tracking (abstract)

Target search with a radar on an airborne platform (abstract)

Non-myopic Sensor Path Planning for Emitter Localization with a UAV (abstract)

Measuring Multi-Source Redundancy in Factor Graphs (abstract)

Decentralized Decision Making over Random Graphs (abstract)

Distributed Swarm Navigation with Factored Filters (abstract)

Comparison of Classification Techniques for Extremism Detection in French Social Media (abstract)

Hybrid Quantum-Classical Neural Network for Incident Detection (abstract)

Game-Theoretic Strategies for Quantum-Conventional Network Infrastructures (abstract)

Stein Variational Gradient Descent for Non-Bayesian Particle Flow (abstract)

When Does the Marginalized Particle Filter Degenerate? (abstract)

Inference for Variance-Gamma Driven Stochastic Systems (abstract)

Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland (abstract)

Bounding Box Dynamics in Visual Tracking: Modeling and Noise Covariance Estimation (abstract)

Bounding Box Detection in Visual Tracking: Measurement Model Parameter Estimation (abstract)

Reinforcement Learning based Guidance Policy Optimization for a Swarm of Cooperative Sensor Platforms Tracking a Single Target (abstract)

A Method of Efficiently Evaluating Radar Performance Models Using Upper Bounds (abstract)

Joint bias and target state estimation based on Doppler sensors (abstract)

Navigation in Shallow Water Using Passive Acoustic Ranging (abstract)

Simultaneous Sensor and Sound Source Localization in Urban Environments (abstract)

Computational Algorithms for Acoustic Signals Direction of Arrival and Sound Speed Estimation (abstract)

Automatic Estimation of Ship-Mounted Cameras' Orientation by Hand-Eye Calibration (abstract)

Motion Tracking with Coupled Magnetometers and Dynamic IMU Measurement Fusion in Nonuniform Magnetic Fields (abstract)

Modeling Inter-Vehicle Occlusion Scenarios in Multi-Camera Traffic Surveillance Systems (abstract)

Approximate fusion of probability density functions using Gaussian copulas (abstract)

Deterministic Sampling of Arbitrary Densities Using Equal Sphere Packing of Volume under the Density (PoVuD) (abstract)

Progressive Bayesian Particle Flows based on Optimal Transport Map Sequences (abstract)

Holistic Self-Distillation with the Squeeze and Excitation Network for Fine-grained Plant Pathology Classification (abstract)

Learning Empirical Bregman Divergence for Uncertain Distance Representation (abstract)

Optimal Sampling Methodologies for High-rate Structural Twinning (abstract)

Reinforcement Learning-based Autonomous Sensor Control via Simultaneous Learning of Policies and State-Action Spaces (abstract)

Power Allocation for Multi-Target Tracking in Netted Radar System under Suppression Jamming (abstract)

Learning IMM Filter Parameters from Measurements using Gradient Descent (abstract)

Towards Terrain-Based Navigation Using Side-scan Sonar (abstract)

Bayesian Sensor Fusion for Joint Vehicle Localization and Road Mapping Using Onboard Sensors (abstract)

Out-of-distribution Object Detection through Bayesian Uncertainty Estimation (abstract)

Improved Multi-Scale Grid Rendering of Point Clouds for Radar Object Detection Networks (abstract)

A Variational Method with Kernel Estimation and Low Rank Prior for Pansharpening (abstract)

Statistical Detection of Coordination in a Cognitive Radar Network through Inverse Multi-Objective Optimization (abstract)

Study of Overfitting by Machine Learning Methods Using Generalization Equations (abstract)

Geometry-Aware Distributed Kalman Filtering for Affine Formation Control under Observation Losses (abstract)

Ghost Track Detection in Multitarget Tracking using LSTM Network (abstract)

Model-based Deep Learning for Maneuvering Target Tracking (abstract)

Accurate Passive Radar via an Uncertainty-Aware Fusion of Wi-Fi Sensing Data (abstract)

Evaluation of Counter Unmanned Aerial Systems through the levels (abstract)

Uncertain about ChatGPT: enabling the uncertainty evaluation of large language models (abstract)

Software-Friendly Subjective Bayesian Networks: Reasoning within a Software-Centric Mission Impact Assessment Framework (abstract)

Deep Normalizing Flows for State Estimation (abstract)

Maximum Correntropy Two-Filter Smoothing (abstract)

Multiscan Shape Estimation for Extended Object Tracking (abstract)

Periodic Fisher-Scoring Algorithm with Applications for DOA Estimation in Seismic Arrays (abstract)

Elephant DOA Estimation using a Geophone Network (abstract)

Collaborative Bearing Estimation Using Set Membership Methods (abstract)

Few-shot Domain-Adaptative Visually Fused Event Detection from Text (abstract)

Multi-frame Detection for Dim Target under Heterogeneous Clutter in Airborne Radars (abstract)

Observability of Bias of Measurements in Bearings-Only Target Motion Analysis (abstract)

Late Meta-learning Fusion Using Representation Learning for Time Series Forecasting (abstract)

Identifying Aircraft Motions and Patterns from Magnetometry Data Using a Knowledge-Based Multi-Fusion Approach (abstract)

Generic Multimodal Gradient-based Meta Learner Framework (abstract)

Qualitative Models of Data Generation Processes: Facilitating Data-Intensive AI Solutions (abstract)

Identifying Key Features in Aggregated Real-Life AIS-Messages for Classification of Maritime Vessels by Random Forests (abstract)

On the approximation of the quotient of two Gaussian densities for multiple-model smoothing (abstract)

Iterated Filters for Nonlinear Transition Models (abstract)

Ensemble Kalman Filter with Bayesian Recursive Update (abstract)

On the Spherical Laplace Distribution (abstract)

WakeIPDA: Target tracking with existence modeling in the presence of wakes (abstract)

GLRT Particle Filter for Non-Line of Sight Moving Target Tracking via Phased Array Radar (abstract)

Conservative Data Reduction for Covariance Matrices Using Elementwise Event Triggers (abstract)

Association of labellized tracks with low reliability covariance information: a track graph partitioning approach (abstract)

Sequential Processing of Observations in Human Decision-Making Systems (abstract)

Interframe Association of YOLO Bounding Boxes in the Presence of Camera Panning and Zooming (abstract)

Unbiased Electro-optical/Infrared Camera Angular Measurements and their Cross-Correlated Errors (abstract)

Adaptive Mixture Model Reduction based on the Composite Transportation Dissimilarity (abstract)

URREF Risk analysis towards Data Fusion Certification (abstract)

Cross-Entropy and Relative Entropy of Basic Belief Assignments (abstract)

The linear multitarget IPDA and its application on only a subset of the tracks. (abstract)

Measurement-to-Measurement Association for MDA with A Practical Coarse Gating Strategy (abstract)

Closing the Ivory Validation Gates: A Historical Analysis of Achkasov’s Data Association Filters (abstract)

On-Sensor Online Learning and Classification Under 8 KB Memory (abstract)

Enhancing Disaster Management of Guyed Towers through Machine Learning-Based Data Fusion (abstract)

Scheduling Condition-based Maintenance: An Explainable Deep Reinforcement Learning Approach via Reward Decomposition (abstract)

Distributed multi-agent magnetic field norm SLAM with Gaussian processes (abstract)

Design of Efficient Point-Mass Filter with Terrain Aided Navigation Illustration (abstract)

Sweeping UV-C Disinfection: a Mathematical Approach (abstract)

Intention Estimation with Recurrent Neural Networks for Mixed Reality Environments (abstract)

Probability Distributions in Coastal Regions for Association of Naval Vessels (abstract)

Unsupervised anomaly detection under a multiple modeling strategy via model set optimization through transfer learning (abstract)

Co-embedding Multi-type Data for Information Fusion and Visual Analytics (abstract)

Ensemble Gaussian Mixture Filtering with Particle-localized Covariances (abstract)

Variations of Joint Integrated Data Association With Radar and Target-Provided Measurements

Maritime radar odometry inspired by visual odometry (abstract)

Large-scale magnetic field maps using structured kernel interpolation for Gaussian process regression (abstract)

Mapping the magnetic field using a magnetometer array with noisy input Gaussian process regression (abstract)

Flexible Multi-Target Tracking with Track Management Using Dirichlet and Gaussian Processes (abstract)

Adaptive Kalman Filter Tracking for Instantaneous Aircraft Flutter Monitoring (abstract)

Mismatched Filter Design Applied to 1D and 2D Sinusoidal Models (abstract)

Extended target PMBM tracker with a Gaussian Process target model on LiDAR data (abstract)

An Efficient Implementation of the Extended Object Trajectory PMB Filter Using Blocked Gibbs Sampling (abstract)

Multiple Gaussian Processes based Extended Target Tracking with Variational Inference (abstract)

A multi-object Kalman filter for Gaussian random fields with point process measurements (abstract)

On Gibbs Sampling Architecture for Labeled Random Finite Sets Multi-Object Tracking (abstract)

Deterministic Multi-sensor Measurement-adaptive Birth using Labeled Random Finite Sets (abstract)

Bounded Subjective Opinions (abstract)

Online Performance Assessment of Multi-Sensor Kalman Filters Based on Subjective Logic (abstract)

A solution to the electrical urban transit routing problem with heterogeneous characteristics (abstract)

Approximate First-Passage Time Distributions for Gaussian Motion and Transportation Models (abstract)

Joint Estimation of Vessel Parameter-Motion and Sea State (abstract)

Automatic Identification of Coordinated Targets (abstract)

Stone Soup: No Longer Just an Appetiser (abstract)

A Gaussian Integral Filter with Multivariate Laplace Process Noise (abstract)

Multitarget-Multidetection Tracking Using the Kernel SME Filter (abstract)

Improved Extended Object Tracking with Efficient Particle-based Orientation Estimation (abstract)

Evaluation Scores for Elliptic Extended Object Tracking Considering Diverse Object Sizes (abstract)

Stochastic flows – a primer on early multi-object filtering work with point processes (abstract)

The Product Multi-Sensor Labeled Multi-Bernoulli Filter (abstract)

The Fast Product Multi-Sensor Labeled Multi-Bernoulli Filter (abstract)

Sequential Source Selection Based On Evidential Value of Information (abstract)

Weighted Fusion of Multiple Classifiers for Human Activity Recognition (abstract)

Exercise and Sedentary Activity Recognition Using Late Fusion: Building Adaptable Uncertain Models (abstract)

Dual occupancy and knowledge maps management for optimal traversability risk analysis (abstract)

Classification of Warship Formations Using a Kohonen Network (abstract)

Avoiding quantification effect in the vertical trajectory reconstruction filtering system (abstract)

Measurement and Track Fusion at the System Level (abstract)

GOSPA-Driven Gaussian Bernoulli Sensor Management (abstract)

Advances in Multi-Target Tracking Performance Evaluation (abstract)

Extended Target Tracking With a Lidar Sensor Using Random Matrices and a Gaussian Processes Regression Model (abstract)

A Novel Method for Maneuvering Extended Vehicle Tracking with Automotive Radar (abstract)

Shape Tracking Using Fourier-Chebyshev Double Series for 3D Distance Measurements (abstract)

Labeled Probability Hypothesis Density Filtering for Track-Before-Detect Strategy (abstract)

Joint Emitter Detection and Tracking Based on the Bernoulli Filter (abstract)

Split Happens! Imprecise and Negative Information in Gaussian Mixture Random Finite Set Filtering (abstract)

Multimodal Early Fusion of Automotive Sensors based on Autoencoder Network: An anchor-free approach for Vehicle 3D Detection (abstract)

Enhance Public Safety Surveillance in Smart Cities by Fusing Optical and Thermal Cameras (abstract)

Full State Information Transfer Across Adjacent Cameras in a Network Using Gauss Helmert Filters

DEMDE: Decision Making Design based on Bayesian Network for Personalized Monitoring System (abstract)

Sampling-based Track-to-Track Association (abstract)

Track-To-Track Association for Fusion of Dimension-Reduced Estimates (abstract)

L:OMEM - A fast filter to track maneuvering extended objects (abstract)

A Scalable Rao-Blackwellised Sequential MCMC Sampler for Joint Detection and Tracking in Clutter (abstract)

Constrained Gaussian-Process State-Space Models for Online Magnetic-Field Estimation (abstract)

Lossless Processing and the Limits of Trackability in MHT (abstract)

Large-Scale Space Object Tracking in a Proliferated LEO Scenario (abstract)

Multi-Target Tracking with GPU-Accelerated Data Association Engine (abstract)