FUSION2021

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Tutorial 1

Welcome

Keynote: Prof Simon Maskell (University of Liverpool)

P12 Extended Object and Group Tracking - 1

SS9 Advanced Non-Linear 1

SS2 Intelligence for Situation Understanding and Sense Making

P16 Machine Learning for Information Fusion

Lunch

SS5 Evaluation of Technologies for Uncertainity Reasoning - 2

SS9 Advanced Non-Linear Filtering - 2

Coffee break

Game drive

Assemble for Game drive & Boma dinner

Boma dinner

Coffee break

P3 Fusion for Economics and Finance

P17 Georeferencing and Localization

SS9 Advanced Non-Linear Filtering - 3

P9 Localization

P18 Tracking and Fusion Applications

SS4 Fusion Analytics at Scale for User

SS10 Advances in Machine Learning for Trustworthy Solutions - 2

SS9 Advanced Non-Linear Filtering - 5

P10 Random Finite Sets and Finite Point Processes - 1

P4 Maritime Applications - 1

P13 Belief Based Information Fusion

SS1 Context-Based Information Fusion

P11 Sensor Management and Resource Allocation - 2

SS7 Realtime Critical Perception Tasks in the Context of Automated Driving - 2

T4 Algorithms for Estimation of Noise Parameters in State Space Models

T5 Multisensor Data Fusion for Industry 4.0

T6 Context-enhanced Information Fusion

T3 Fusion using belief functions: source reliability and conflict

T9 An Introduction to Track-to-Track Fusion and the Distributed Kalman Filter

T10 Poisson multi-Bernoulli mixtures for multiple target tracking

T12 Analytic Combinatorics for Multi-Object Tracking

T2 Evaluation of Technologies for Uncertainty Reasoning

T7 Stone Soup: an open source tracking and state estimation framework; principles, use and applications

T8 Overview of High-Level Information Fusion Theory, Models, and Representations

P8 Natural Language Processing for Fusion Systems

SS11 Machine Learning Methods for the Prediction and Modeling of Object Dynamics - 1

SS11 Machine Learning Methods for the Prediction and Modeling of Object Dynamics - 2

P14 Information Fusion for Automative Applications

Welcome

SS7 Realtime Critical Perception Tasks in the Context of Automated Driving - 1

Keynote: Prof Russ Taylor (SKA Research Chair in Radio Astronomy, University of Cape Town and University of the Western Cape)

P12 Extended Object and Group Tracking - 2

SS5 Evaluation of Technologies for Uncertainity Reasoning - 1

SS10 Advances in Machine Learning for Trustworthy Solutions - 1

P5 MultiBernoulli Filtering

P6 Multiple Hypothesis Tracking

Welcome

P10 Random Finite Sets and Finite Point Processes - 2

P4 Maritime Applications - 2

P11 Sensor Management and Resource Allocation - 1

P15 Theoretical Advances in Information Fusion

P1 Adaptive Filtering and Fusion

Keynote: Dr. Edward Tunstel (CTO of Motiv Space Systems, Inc.)

P2 Advances in Distributed Fusion

SS9 Advanced Non-Linear Filtering - 4

SS8 Data Fusion for Industry 4.0

P7 Navigation and Mapping

T11 Multi Sensor Data Fusion for Vehicular Automation and Autonomous Driving: Concepts, Implementations and Evaluation Technique

T1 Multitarget Tracking and Multisensor Information Fusion: Recently Developed Advanced Algorithms

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Contributions*

2D LiDAR and Camera Fusion Using Motion Cues for Indoor Layout Estimation (in session "P7 Navigation and Mapping")

A Diffusion-Based Distributed Time Difference Of Arrival Source Positioning (in session "P17 Georeferencing and Localization")

A Gaussian-inverse Gamma mixture Distributions and Expectation-Maximization Based Robust Kalman Filter (in session "P1 Adaptive Filtering and Fusion")

A Mutli-feature Correlation Filter Tracker with Different Hash Algorithm (in session "P18 Tracking and Fusion Applications")

A New Image Fusion Method for Ship Target Enhancement in Spaceborne and Airborne SAR Collaboration (in session "P4 Maritime Applications - 2")

A Neyman-Pearson Criterion-Based Neural Network Detector for Maritime Radar (in session "P4 Maritime Applications - 1")

A Random Finite Set Sensor Control Approach for Vision-based Multi-object Search-While-Tracking (in session "P10 Random Finite Sets and Finite Point Processes - 2")

A Robust Random Matrix Prediction Model for Extended Object Rotations (in session "P12 Extended Object and Group Tracking - 2")

A Scalable Track-Before-Detect Method With Poisson/ Multi-Bernoulli Model (in session "P5 MultiBernoulli Filtering")

A Single-pass Noise Covariance Estimation Algorithm in Adaptive Kalman Filtering for Non-stationary Systems (in session "P1 Adaptive Filtering and Fusion")

A time-weighted metric for sets of trajectories to assess multi-object tracking algorithms (in session "P10 Random Finite Sets and Finite Point Processes - 2")

Accelerated Design of a Conformal Strongly Coupled Magnetic Resonance Wireless Power Transfer (in session "SS8 Data Fusion for Industry 4.0")

Acoustic Source Localization in Shallow Water: A Probabilistic Focalization Approach (in session "P4 Maritime Applications - 1")

Adaptive Kernel Kalman Filter Multi-Sensor Fusion (in session "SS11 Machine Learning Methods for the Prediction and Modeling of Object Dynamics - 1")

Adiabatic Quantum Computing for Solving the Weapon Target Assignment Problem (in session "P11 Sensor Management and Resource Allocation - 1")

An a-Rényi Divergence Sigmoïd Parametrization For a Multi-Objectives and Context-Adaptive Fault Tolerant Localization (in session "SS1 Context-Based Information Fusion")

An Algebra of Machine Learners with Applications (in session "P16 Machine Learning for Information Fusion")

An analysis on metric-driven multi-target sensor management: GOSPA versus OSPA (in session "P11 Sensor Management and Resource Allocation - 2")

An Elliptical Principal Axes-based Model for Extended Target Tracking with Marine Radar Data (in session "P12 Extended Object and Group Tracking - 2")

An embedded platform approach to privacy-centric person re-identification (in session "SS10 Advances in Machine Learning for Trustworthy Solutions - 2")

An Enhanced Particle Filter for Uncertainty Quantification in Neural Networks (in session "SS10 Advances in Machine Learning for Trustworthy Solutions - 1")

An IMM-enabled Adaptive 3D Multi-Object Tracker for Autonomous Driving (in session "P14 Information Fusion for Automative Applications")

An Overview of Machine Learning Methods for Multiple Target Tracking (in session "SS11 Machine Learning Methods for the Prediction and Modeling of Object Dynamics - 2")

Analysis of recycling performance in Poisson multi- Bernoulli mixture filters (in session "P5 MultiBernoulli Filtering")

Angle-Only, Range-Only and Multistatic Tracking Based on Multi-Sensor GM-PHD Filter (in session "P10 Random Finite Sets and Finite Point Processes - 1")

Animal Tracking within a Formation of Drones (in session "P18 Tracking and Fusion Applications")

Approximately Optimal Radar Resource Management for Multi-Sensor Multi-Target Tracking (in session "P11 Sensor Management and Resource Allocation - 2")

Automated deep learning for trend prediction in time series data (in session "P16 Machine Learning for Information Fusion")

Automatic context learning based on 360 imageries triangulation and 3D LiDAR validation (in session "SS1 Context-Based Information Fusion")

Bathymetry and Atomic Gravimetry Sensor Fusion for Autonomous Underwater Vehicle (in session "P7 Navigation and Mapping")

Bayesian Estimation with Artificial Neural Network (in session "SS11 Machine Learning Methods for the Prediction and Modeling of Object Dynamics - 2")

Bridging Heuristic and Deep Learning Approaches to Sensor Tasking (in session "P11 Sensor Management and Resource Allocation - 1")

Classical Tracking for Quantum Trajectories (in session "SS9 Advanced Non-Linear Filtering - 5")

Clustering of maritime trajectories with AIS features for context learning (in session "SS1 Context-Based Information Fusion")

Co-Training an Observer and an Evading Target (in session "SS11 Machine Learning Methods for the Prediction and Modeling of Object Dynamics - 2")

Cognitive Active Sonar Tracking for Optimum Performance in Clutter (in session "P4 Maritime Applications - 1")

Combining LSTM and MDN Networks for traffic forecasting using the Argoverse Dataset (in session "SS11 Machine Learning Methods for the Prediction and Modeling of Object Dynamics - 1")

Combining vagueness detection with deep learning to identify fake news (in session "P8 Natural Language Processing for Fusion Systems")

Comparison of Confidence Sets Designs for Various Degrees of Knowledge (in session "P15 Theoretical Advances in Information Fusion")

Comparison of Discrete and Continuous State Estimation with Focus on Active Flux Scheme (in session "SS9 Advanced Non-Linear Filtering - 4")

Composite Transportation Dissimilarity in Consistent Gaussian Mixture Reduction (in session "P15 Theoretical Advances in Information Fusion")

Continuous Herded Gibbs Sampling (in session "SS9 Advanced Non-Linear Filtering - 4")

Cooperative Unscented Kalman Filter with Bank of Scaling Parameter Values (in session "SS9 Advanced Non-Linear Filtering - 3")

Counting Technique versus Single-Time Test for Track-to-Track Association (in session "P6 Multiple Hypothesis Tracking")

Data fusion for georeferencing a laser scanner based multi-sensor system in a city environment (in session "P17 Georeferencing and Localization")

Data-Driven Merging of Car-Following Models for Interaction-Aware Vehicle Speed Prediction (in session "SS7 Realtime Critical Perception Tasks in the Context of Automated Driving - 2")

Decentralized Canonical Correlation Analysis for Large Data-sets (in session "P2 Advances in Distributed Fusion")

Deep Learning for Financial Time Series Forecast Fusion and Optimal Portfolio Rebalancing (in session "P3 Fusion for Economics and Finance")

Deep Likelihood Learning for 2-D Orientation Estimation Using a Fourier Filter (in session "SS9 Advanced Non-Linear Filtering - 5")

Determinants of audit fees: Evidence from Compustat database from 2009-2019 (in session "P3 Fusion for Economics and Finance")

Deterministic Gaussian Sampling With Generalized Fibonacci Grids (in session "SS9 Advanced Non-Linear Filtering - 4")

Differentiable Particle Filters through Conditional Normalizing Flow (in session "SS9 Advanced Non-Linear 1")

Distributed MHT with Passive Sensors (in session "P6 Multiple Hypothesis Tracking")

Domain adaptation for target classification using microDoppler spectra in radar networks (in session "P16 Machine Learning for Information Fusion")

Dynamic Explanation of Bayesian Networks with Abductive Bayes Factor Qualitative Propagation and Entropy-Based Qualitative Explanation (in session "SS10 Advances in Machine Learning for Trustworthy Solutions - 2")

Enhanced Fixed-Interval Smoothing for Markovian Switching Systems (in session "P1 Adaptive Filtering and Fusion")

Estimation of copulas between solar wind parameters and a geomagnetic index during intense geomagnetic storms (in session "P18 Tracking and Fusion Applications")

Evaluating Trust in an Uncertain and Multisource Environment (in session "SS5 Evaluation of Technologies for Uncertainity Reasoning - 1")

Extended Object Tracking Using Sets Of Trajectories with a PHD Filter (in session "P12 Extended Object and Group Tracking - 1")

Extended object tracking with spatial model adaptation using automotive radar (in session "P12 Extended Object and Group Tracking - 1")

Factor Graphs for Heterogeneous Bayesian Decentralized Data Fusion (in session "P2 Advances in Distributed Fusion")

Fast and Robust Ground Surface Estimation from LiDAR Measurements using Uniform B-Splines (in session "SS7 Realtime Critical Perception Tasks in the Context of Automated Driving - 1")

Feature-Aided Tracking Techniques for Active Sonar Applications (in session "P4 Maritime Applications - 1")

Filtering and Sensor Optimization Applied to Angles-only Navigation (in session "P7 Navigation and Mapping")

Forecasting pharmacy purchases orders (in session "SS8 Data Fusion for Industry 4.0")

Fusing contextual word embeddings for concreteness estimation (in session "SS1 Context-Based Information Fusion")

Game-Theoretic Approach for Grace-Period Policy in Supercomputers (in session "P3 Fusion for Economics and Finance")

GPS and IMU Fusion for Human Gait Estimation (in session "P18 Tracking and Fusion Applications")

Handling Traceability in Graph Fusion for a Trustworthy Framework (in session "SS5 Evaluation of Technologies for Uncertainity Reasoning - 1")

Impact of Georegistration Accuracy on Wide Area Motion Imagery Object Detection and Tracking (in session "P17 Georeferencing and Localization")

Implementation of Ensemble Kalman Filters in Stone Soup (in session "SS9 Advanced Non-Linear Filtering - 2")

Importance Gauss-Hermite Gaussian Filter for Models with Non-Additive Non-Gaussian Noises (in session "SS9 Advanced Non-Linear Filtering - 4")

Improved Explainability through Uncertainty Estimation in Automatic Target Recognition of SARImages (in session "SS10 Advances in Machine Learning for Trustworthy Solutions - 2")

Improved Virtual Landmark Approximation for Belief Space Planning (in session "P14 Information Fusion for Automative Applications")

Improving Lidar-Based Semantic Segmentation of TopView Grid Maps by Learning Features in Complementary Representations (in session "SS7 Realtime Critical Perception Tasks in the Context of Automated Driving - 1")

Improving the Performance of Pre-trained Systems in Sentence Retrieval (in session "P8 Natural Language Processing for Fusion Systems")

Improving the performance of Transformer Context Encoders for NER (in session "P8 Natural Language Processing for Fusion Systems")

Information-Based Georeferencing of Multi-Sensor- Systems by Particle Filter with Implicit Measurement Equations (in session "P17 Georeferencing and Localization")

Investigating suspicious vessel behaviour in light of context (in session "SS1 Context-Based Information Fusion")

Joint Calibration and Direct Position Determination for Moving Array Sensors (in session "P9 Localization")

Joint Parameter Estimation and Trajectory Tracking of Bounding Boxes (in session "P12 Extended Object and Group Tracking - 1")

Labeled Multi-Bernoulli Filter based Group Target Tracking Using SDE and Graph Theory (in session "P5 MultiBernoulli Filtering")

Laplace Particle Filter on Lie Groups Applied to Angles-Only Navigation (in session "P7 Navigation and Mapping")

Learning Motion Patterns in AIS Data and Detecting Anomalous Vessel Behavior (in session "P4 Maritime Applications - 2")

Likeness-Based dissimilarity measures for Gaussian Mixture Reduction and Data Fusion (in session "P15 Theoretical Advances in Information Fusion")

Linear-quadratic control of multiple interceptors (in session "P11 Sensor Management and Resource Allocation - 1")

Localization and Tracking of High Speed Trains Using Compressed Sensing Based 5G Localization Algorithms (in session "P9 Localization")

Low Altitude and Small Target Tracking Based on IMM L-M Cubature Kalman Filter (in session "SS9 Advanced Non-Linear Filtering - 2")

Machine Learning for Soil Moisture Prediction Using Hyperspectral and Multispectral Data (in session "P16 Machine Learning for Information Fusion")

Making Sense of It All: Measurement Cluster Sequencing for Enhanced Situational Awareness with Ubiquitous Sensing (in session "SS2 Intelligence for Situation Understanding and Sense Making")

Maritime Anomaly Detection of Malicious Data Spoofing and Stealth Deviations from Nominal Route Exploiting Heterogeneous Sources of Information (in session "P4 Maritime Applications - 2")

Markov Logic meets Graph Neural Networks: A Study for Situational Awareness (in session "SS2 Intelligence for Situation Understanding and Sense Making")

Method of Basic Belief Assignment Determination Based on Density Estimation of Ambiguous Samples (in session "P13 Belief Based Information Fusion")

mmWave Simultaneous Localization and Mapping Using a Computationally Efficient EK-PHD Filter (in session "P10 Random Finite Sets and Finite Point Processes - 1")

Modeling of the tire-road friction using neural networks including quantification of the prediction uncertainty (in session "SS10 Advances in Machine Learning for Trustworthy Solutions - 1")

Monocular 3D Multi-Object Tracking with an EKF Approach for Long-Term Stable Tracks (in session "SS7 Realtime Critical Perception Tasks in the Context of Automated Driving - 1")

Morphing Attack Detection: A Fusion Approach (in session "SS10 Advances in Machine Learning for Trustworthy Solutions - 2")

Multi-Criteria Information Fusion for Storm Prediction Based on Belief Functions (in session "P13 Belief Based Information Fusion")

Multi-Frame Joint Tracking and Shape Estimation Approach for Weak Extended Targets (in session "P12 Extended Object and Group Tracking - 1")

Multi-sensor Distributed Estimation Fusion Based on Minimizing the Bhattacharyya Distance Sum (in session "P2 Advances in Distributed Fusion")

Multi-target Joint Tracking and Classification Using the Trajectory PHD Filter (in session "P10 Random Finite Sets and Finite Point Processes - 1")

Multi-Target Tracking with Dependent Likelihood Structures in Labeled Random Finite Set Filters (in session "P10 Random Finite Sets and Finite Point Processes - 2")

Next Generation Multitarget Trackers: Random Finite Set Methods vs Transformer-based Deep Learning (in session "SS11 Machine Learning Methods for the Prediction and Modeling of Object Dynamics - 2")

Observability Analysis of Multipath Assisted Target Tracking with Unknown Reflection Surface (in session "P14 Information Fusion for Automative Applications")

Observability Informed Partial-Update Schmidt Kalman Filter (in session "SS9 Advanced Non-Linear Filtering - 2")

On a Detection Method of Adversarial Samples for Deep Neural Networks (in session "SS10 Advances in Machine Learning for Trustworthy Solutions - 1")

On Tracking Closely-Spaced Targets in a PARAFACRepresentation of the Fermionic Wave Function Formulation (in session "SS9 Advanced Non-Linear Filtering - 3")

Optimal Sensor Placement for Shooter Localization Using a Genetic Algorithm (in session "P9 Localization")

Particle filters with auxiliary Markov transition. Application to crossover and to multitarget tracking (in session "SS9 Advanced Non-Linear 1")

Peacock: a Benchmarks Generation Framework for High-Level Information Fusion Evaluation (in session "SS5 Evaluation of Technologies for Uncertainity Reasoning - 2")

Pedestrian Detection by Fusion of RGB and Infrared Images in Low-Light Environment (in session "SS7 Realtime Critical Perception Tasks in the Context of Automated Driving - 1")

Polarimetric Information Representation for Radar based Road User Detection with Deep Learning (in session "SS7 Realtime Critical Perception Tasks in the Context of Automated Driving - 2")

Policy Rollout Action Selection with Knowledge Gradient for Sensor Path Planning (in session "P11 Sensor Management and Resource Allocation - 1")

Posterior Cramer-Rao Bounds for Tracking Intermittently Visible Targets in Clutter (in session "P15 Theoretical Advances in Information Fusion")

Quantum Representation of Basic Probability Assignments Based on Mixed Quantum States (in session "P13 Belief Based Information Fusion")

Radar Resource Management for Multi-Target Tracking Using Model Predictive Control (in session "P11 Sensor Management and Resource Allocation - 2")

RadarScenes: A Real-World Radar Point Cloud Data Set for Automotive Applications (in session "P14 Information Fusion for Automative Applications")

Real-time Activation Pattern Monitoring and Uncertainty Characterisation in Image Classification (in session "SS10 Advances in Machine Learning for Trustworthy Solutions - 1")

Recursive LMMSE Sequential Fusion with Multi-Radar Measurements for Target Tracking (in session "SS9 Advanced Non-Linear Filtering - 3")

Relation-Aware Neighborhood Aggregation for Crosslingual Entity Alignment (in session "P8 Natural Language Processing for Fusion Systems")

Relations Between Explainability, Evaluation and Trust in AI-Based Information Fusion Systems (in session "SS5 Evaluation of Technologies for Uncertainity Reasoning - 2")

Resilient Collaborative All-Source Navigation (in session "P7 Navigation and Mapping")

Riemannian Lp Center of Mass for Scatter Matrix Estimation in Complex Elliptically Symmetric Distributions (in session "P12 Extended Object and Group Tracking - 2")

Robust Linearly Constrained Filtering for GNSS Position and Attitude Estimation under Antenna Baseline Mismatch (in session "SS9 Advanced Non-Linear Filtering - 3")

Robust naval localization using a particle filter on polar amplitude gridmaps (in session "SS9 Advanced Non-Linear 1")

Scalable Information Fusion Trust (in session "SS4 Fusion Analytics at Scale for User")

Securing the Distributed Kalman Filter Against Curious Agents (in session "P2 Advances in Distributed Fusion")

Semantically-guided acquisition of trustworthy data for information fusion (in session "SS4 Fusion Analytics at Scale for User")

Shooter Localization Based on TDOA and N-Shape Length Measurements of Distributed Microphones (in session "P9 Localization")

Single-target density for tracking indistinguishable objects (in session "P12 Extended Object and Group Tracking - 1")

SMC samplers for Bayesian Optimisation and Discovery of Additive Kernel Structure (in session "SS9 Advanced Non-Linear Filtering - 5")

Spatio-Temporal Decision Fusion for Quickest Fault Detection Within Industrial Plants: The Oil and Gas Scenario (in session "SS8 Data Fusion for Industry 4.0")

Stability and Convergence of Stochastic Particle Flow Filters (in session "SS9 Advanced Non-Linear 1")

State Estimation of Articulated Vehicles Using Deformed Superellipses (in session "P14 Information Fusion for Automative Applications")

Surrogate Parameters Optimization for Data and Model Fusion of COVID-19 Time-series Data (in session "SS11 Machine Learning Methods for the Prediction and Modeling of Object Dynamics - 1")

Symmetric Star-convex Shape Tracking With Wishart Filter (in session "P12 Extended Object and Group Tracking - 2")

The efficient frontiers of mean-variance portfolio rules under distribution misspecification (in session "P3 Fusion for Economics and Finance")

The Trajectory PHD Filter for Jump Markov System Models and Its Gaussian Mixture Implementation (in session "P10 Random Finite Sets and Finite Point Processes - 1")

Time Dependence in Kalman Filter Tuning (in session "P1 Adaptive Filtering and Fusion")

Toward Measuring Information Value in a MultiIntelligence Context (in session "SS2 Intelligence for Situation Understanding and Sense Making")

Toward the Automated Construction of Probabilistic Knowledge Graphs for the Maritime Domain (in session "P4 Maritime Applications - 2")

Toward Uncertainty Aware Quickest Change Detection (in session "SS2 Intelligence for Situation Understanding and Sense Making")

Towards Neural-Symbolic Learning to support Human-Agent Operations (in session "SS4 Fusion Analytics at Scale for User")

Track Coalescence and Repulsion: MHT, JPDA, and BP (in session "P6 Multiple Hypothesis Tracking")

Track-before-detect Bernoulli filters for combining passive and active sensors (in session "P5 MultiBernoulli Filtering")

TrafficEKF: a Learning Based Traffic Aware Extended Kalman Filter (in session "SS9 Advanced Non-Linear Filtering - 2")

Tuning Multi Object Tracking Systems using Bayesian Optimization (in session "P10 Random Finite Sets and Finite Point Processes - 2")

Uncertainties in Galilean Spacetime (in session "SS9 Advanced Non-Linear Filtering - 5")

Uncertainty Evaluation of Temporal Trust in a Fusion System Using the URREF Ontology (in session "SS5 Evaluation of Technologies for Uncertainity Reasoning - 1")

Uncertainty-Aware Recurrent Encoder-Decoder Networks for Vessel Trajectory Prediction (in session "SS11 Machine Learning Methods for the Prediction and Modeling of Object Dynamics - 1")

upporting Agile User Fusion Analytics through Human-Agent Knowledge Fusion (in session "SS4 Fusion Analytics at Scale for User")

Use of the URREF towards Information Fusion Accountability Evaluation (in session "SS5 Evaluation of Technologies for Uncertainity Reasoning - 1")

Variance Guided Continual Learning in a Convolutional Neural Network Gaussian Process Single Classifier Approach in Noisy Images (in session "SS10 Advances in Machine Learning for Trustworthy Solutions - 1")

Video Anomaly Detection for Surveillance Based on Effective Frame Area (in session "SS10 Advances in Machine Learning for Trustworthy Solutions - 2")

Weak Target Detection with Multi-bit Quantization in Colocated MIMO Radar (in session "P11 Sensor Management and Resource Allocation - 2")

Welcome (in session "Welcome")

Welcome (in session "Welcome")

Wide-Area Multistatic Sonar Tracking (in session "P6 Multiple Hypothesis Tracking")

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01/11/2021

02/11/2021

03/11/2021

04/11/2021

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