Accepted Papers

Here are the accepted papers for FUSION 2026.
View accepted papers in each topic.

Accepted papers by topic

AI (other than machine learning)

Conformal Prediction for Uncertainty-Aware SAR-Based Terrain-Aided Navigation
Simon Bertrand, Cornelia Vacar, Lionel Bombrun
Towards Causally Interpretable Wi-Fi CSI-Based Human Activity Recognition with Discrete Latent Compression and LTL Rule Extraction
Luca Cotti, Luca Lavazza, Marco Cominelli, Liying Han, Gaofeng Dong, Francesco Gringoli, Mani Srivastava, Trevor Bihl, Erik Blasch, Daniel Brigham, Kara Combs, Lance Kaplan, Federico Cerutti
Autonomous Vehicle Control Based on Diffusion Policy Learning via Gaussian Process Regression in the Presence of Uncertainties
Amornyos Horprasert, Lanlan Su, Lyudmila Mihaylova
Spatio-Temporal Feature Fusion for Non-Line-of-Sight Human Action Recognition Using UWB Radar
Xu Liu, Longzhen Tang, Congzhang Ding, Shisheng Guo, Cui Guolong
Radar Target Detection via Temporal Context Enhanced Dual-Branch Feature Fusion Network
Chuanfei Zang, Yiru Lin, Xingyu Chen, Yumiao Wang, Cui Guolong, Xiaobo Yang
FA-Occ: Foreground-Aware Occupancy Prediction with 2D Detection Priors
Wenhui Zhao, Feng Yang, Di Wu, Pan Liao, Jinwen Yu, Xuechun Xia

Applications to defence and security

Probabilistic Association of Sonar Contacts Using Factor Graphs
Erik Bakken, Øivind Midtgaard, Trym Haavardsholm
IntrusionHD: Hyperdimensional Computing for Anomaly-Based Intrusion Detection Systems
Augusto Cesar da Fonseca dos Santos, Leopoldo Lusquino Filho, Claudio De Farias, Leandro Santiago de Araújo
STEGO-Mesh: A robust fusion architecture for the additive manufacturing digital thread
Paulo Costa, Sai Gayatri Annamreddy
Probabilistic Mid-Flight Estimation of an Adversary Vehicle’s Destination Using Guided Backward Reachability
Ryan Glenn, Puneet Singla
TIDAL: A Topology-Informed Deep Architecture for Efficient Multi-Modal Learning
Hongzhi Guo, Paul Schrader, Erik Blasch
Non-Homogenous Sensor Fusion for Cislunar Space Domain Awareness using Gaussian Mixture Models
Tarun Hejmadi, Ishan Paranjape, Suman Chakravorty
Terrain-Aware Multi-Stage Optimization for Heterogeneous Sensor Placement in Counter-sUAV Surveillance
Byungill Jang, Rajesh Ganesan, Kuochu Chang, Ali Raz
Information Fusion as a Critical Defence Capability: Lessons from West German Research in the Cold War
Wolfgang Koch
Optimal Information Falsification Strategies for Cyber Deception
Abhinav Kumar, Swastik Brahma, Baocheng Geng, Charles Kamhoua, Pramod Varshney
Probability analysis for context-aware fusion of environmental data – for feasibility and risk in SAR operations
Knut Landmark, Rune Stensrud, Sonja Melanie Greve
Estimating Adversarial Intent and Threats of UAV’s and UAV Swarms: Implications for the Information Fusion Community
James Llinas
Intrinsic Analysis of Cross-modal Attention under Adversarial Attacks in Deep Sensor Fusion
Mohamed Marwen Moslah, Ramzi Zouari, Ahmad Shahnejat bushehri, gabriela nicolescu, Felipe Gohring de Magalhaes
FedROAD: A Federated Learning Resilient Operating Avionics and Drone Benchmark
Deeraj Nagothu, Yajie Bao, Genshe Chen, Erik Blasch, Victor Murray, William Blair
A Mathematical Foundation for Certainty Factor Theory with Applications to Area Search
Nikolai Opdan

Applications to robotics (all vehicles)

Investigating 3D Object Detection Models on Quasi-2D LiDAR Data Using Temporal Aggregation
Samanti Das, Joachim Clemens, Kerstin Schill
Multi-LiDAR Multi-Object Tracking for Quasi-2D Perception
Darshan Ghugare, Joachim Clemens, Samanti Das, Kerstin Schill
Visual Goal-Conditioned Reinforcement Learning using Self-Supervised Latent Representations
Mohamed Hamdi, Andrea Salfinger, Lauro Snidaro
Path Planning for Sound Speed Profile Estimation
Ludvig Lindström, Tadas Paskevicius, Andreas Jakobsson, Isaac Skog
Prior-Guided Probabilistic Search for UAV-Based Road Surveillance
Paula López, Pablo Zubasti, Juan P. Llerena, Jesús García, Jose Molina
Landmark map management using crowdsourced data
Noël Nadal, Fawzi Nashashibi
Moment-Matching Probabilistic Data Association for Optimization-Based SLAM
Khoa Nguyen, Mitchell Turton, Florian Meyer
Real-time state prediction for digital twin support in maritime operation with eXogeneous Kalman filter, operator input and delay compensation
Andreas Tufte, Alexander Brevad Rambech, Morten Breivik, Tor Johansen, Erik Veitch, Edmund Brekke
SD-RouteFusion: Ego-Trajectory Prediction with SD-Map Route Conditioning
Sviatoslav Voloshyn, Bruno Martens, Wangxin Liu, Jakob Vinkas, Junsheng Fu
Modality-Aware Query Learning and Alignment for Robust Camera–Radar Fusion in 3D Object Detection
Di Wu, Feng Yang, Benlian Xu, Wenhui Zhao, Jinwen Yu, Pan Liao

Applications, others

A Preliminary Study on Image Fusion for Snow-Pole Detection in Machine-Sensible Winter Infrastructure
Durga Prasad Bavirisetti, Rafiq Muhammad Ibne, Stefan Seipel, Gang Liu
Few-Shot Foundation Model Adaptation for Longitudinal Post-Radiotherapy Outcome Prediction via Multi-View Mammogram Fusion
Farnoush Bayatmakou, Reza Taleei, Arash Mohammadi
Late Fusion for Multimodal Bulky Waste Image Classification on WoodVIT V1
Manuel Bihler, Michael Heizmann
Uncertainty Mapping for Groundwater Level Prediction
Lisa Duschek, Kathryn Laskey
Robust and Stable Reconfiguration of Gas Leak Detection Sensor Networks under Operational Variability
Lucas Fonseca, Gabriel Souto, Pedro Henrique González
An Adaptive Large Neighborhood Search Approach for Gas Leak Detection Sensor Planning in Chemical Plants
Lucas Fonseca, Gabriel Souto, Claudio De Farias, Pedro Henrique González
Coupled Variational Autoencoders for Bi-modal In-situ Monitoring of Keyhole Pore Formation in Laser Powder Bed Fusion
Saeid Hedayatrasa, Ayyoub Ahar, Cyril Blanc, Dries Verhees, Abdellatif Bey-temsamani
Virtual Sensing of Liquid Water Content using Standard Air Data Probes
Gabriel Meisler, Ouassim Bara, Valérie Pommier-Budinger, Michael Bauerheim
pFMEA-based Decision-Support Systems for Quality Management: Case Study
Mahdi Mokhtarzadeh, Jorge Rodriguez-Echeverria, Sidharta Gautama
Fusion Based Rotor Angle Stabiliy Under Dynamic Large Loads on the Bulk Power System
Gordon North Piegan, Liling Huang, Kuochu Chang
Direct Haptic Rendering of 3D Gaussian Splatting Scenes via Ellipsoid Overlap Check
Dominik Pikos, Uwe Hanebeck
Inferring Rotation Time for Improved Association when Tracking Maritime Navigation Radars
Alexander Meyer Sjøberg, Brita Gade, Mona Carina Norberg Vooren, Morten Kloster
Dynamic Baseline Calibration of Low-Cost CO2 Sensors via Spatio-temporal Fusion
Cheng Yang, Tobias Oechtering
Extending Radio Map Estimation with KDE-Based Noise Modeling for Intelligent Measurement Re-Planning
Pablo Zubasti, Paula López, Jesús García, Jose Molina

Bayesian fusion theory

Particle Flow Enhancement of IMM Particle Filter
Henk Blom
Interpolation of Probability Densities on a Grid in Tensor Decomposition Representation
Daniel Frisch, Uwe Hanebeck
Human–AI Decision Fusion with Selective Consultation
BAOCHENG GENG, Shuya Feng, Tianyang Wang, Chen Quan, Pramod Varshney
Gaussian Mixture Belief Propagation for Probabilistic Graphical Models
Luisa Hoffmann, Ali Darijani, Mehdi Khabou, Volker Schulze, Jürgen Beyerer, Michael Heizmann
Probabilistic Pipe Material Classification via LiDAR-IMU Data Fusion
Aristeidis Karnezis, Rob Worley, Sean Anderson, Simon Tait, Kirill Horoshenkov, Lyudmila Mihaylova
Joint Tracking and Classification for Multi-Ellipsoidal Extended Target Using Variational Bayes Inference
Zujian Li, Ronghui Zhan, Yue Guo, Jun Zhang
Exact Data Incest Removal for Provenance Aware Bayesian Fusion via Poset Mobius Inversion
Ruiliang Li
Consistent Fusion of Multiple Sensor Measurements in Difficult Geometries
Hagay Marom, Yaakov Bar-Shalom, Benny Milgrom
Projective Geometry and Homogeneous Coordinates for Random Variables, State Estimation, and Data Fusion
Radu Matei, Kaipei Yang
Normalizing Flow for Two-Sample Hypothesis Testing: Improved Uncertainty Representation but Not Necessarily More Power
Parth Paritosh, Lance Kaplan, James Hare
Latency-aware Event-based State Estimation Using a Sampling-based Approach
Eva Schmitt, Benjamin Noack
Fusing Debris Sighting Information into an Incident Location Distribution
Lawrence Stone, Joshua Hughes
A Variational Lagrangian Framework for Log-Homotopy Particle Flow Filters
Olivér Törő, Domonkos Csuzdi, Tamás Bécsi
AI-enhanced Direct SLAM: A Principled Approach to Unsupervised Learning in Bayesian Inference
Alexander Venus, Benjamin Deutschmann, Alexander Fuchs, Christian Knoll, Erik Leitinger
Particle Gibbs for Underwater Target Tracking Under Unknown Isogradient Sound Speed Profile
Yiming Wang, Ce Zheng

Classification and identification

Conflict-Aware Multiview Information Fusion via Evidential Deep Learning
Houdaifa Boukersoul, Faouzi Sebbak
Multi-Feature Joint Tracking and Classification for UAVs in Heavy Clutter Scenarios
Jin Chai, Jiaye Yang, Kaixian Jiang, Wei Yi
Rocket-Assisted Projectile Detection via Temporal Class Probability Transition
Soonhyeon Choi
Recursive Sparse Identification of Multivariate Subsea System with Parameter Drift
Muhammad Hilmi, Agus Hasan, Mary-Ann Lundteigen
Lipschitz-constrained Generative Network with Visual-semantic Mutual Alignment for Generalized Zero-shot Learning
Xuemeng Hui, Zhunga Liu, Shuyue Wang, Hengyang Zhao
A Similarity Measure for Bayesian Classification Network Parameterizations based on the Jensen-Shannon Divergence with Application to Networks parameterized by LLMs
Max Krueger
Kinematic Feature Selection and Robustness Analysis of Dual-Modal Motion Trajectories
Yanxi Kuang, Dianthika Puteri Andini, Syed Mohsen Naqvi
Adaptive Statistical Trust Modeling for Endpoint-Level Network Anomaly Detection
Lorena Mamede Botelho, Claudio De Farias, Evandro Luiz Macedo, Pablo Rangel
Operator-Taught Track Pattern Recognition for Air Defence Surveillance
Martin Pallin, Victor Pallin
Locally-Optimal Quickest Detection of Link Outages in Wireless Sensor Networks
Nandan Sriranga, Haodong Yang, Pramod Varshney
Deep Learning vs. Model-Assisted Learning: Objective Performance Evaluation of the LSTM Classifier Using Time Series Data
Sooraj Sunil, Balakumar Balasingam
Feature Distribution Constraint for Individual-Independent Human Activity Recognition Based on Through-the-Wall Radar
Longzhen Tang, Qi Yan, Zhuang Xiong, Shisheng Guo, Cui Guolong

Computer vision

Joint Weighted Average (JWA) Based Multimodal (Audio Video) Fusion for ADHD Detection
Dianthika Puteri Andini, Yanxi Kuang, Syed Mohsen Naqvi
Calibration of Vision-Based Pseudo-Sensors Using Monocular Depth Estimation
André Brandenburger, Jan Görtz Lizarraga, Isabel Schlangen, Alexander Charlish, Wolfgang Koch
MultiRAFT-Stereo: an Iterative Approach to Multi-baseline Stereo Fusion
Eivind Sunde Eriksen, Edmund Brekke, Rudolf Mester, Annette Stahl
Foundation Models for Water Surface Mapping: A Study with Copernicus-FM
Farshad Farahnakian, Fahimeh Farahnakian, Jukka Heikkonen
DOPose: Diffusion-based Outpainting for Out-of-Image Human Pose Estimation
Riccardo Frenner, Hasan Evci, Florian Pfaff
Uncertainty representation in deep learning-based scene segmentation
Mihreteab Geletu, Abdelhak Benamirouche, Lauffenburger Jean-Phillippe, Thomas Josso-Laurain, Maxime Devanne
Fusing Electromagnetic Scattering Physics with Deep Features for Robust SAR Ship Detection
Yue Guo, Ronghui Zhan, Zujian Li, Wei Wang, Jun Zhang
UADA-DETR: Uncertainty-Aware Domain Adaptation via Hierarchical Style Fusion for Few-Shot Remote Sensing
Chan Yue Liew, Joanne Mun-Yee Lim, Chee Pin Tan, Raja Mazhar Mohar bin Tun Mohar, Shiv Mark Kumar
Wildlife Inference Augmentation Using Multi-Object Tracking
Mufhumudzi Muthivhi, Jiahao Huo, Fredrik Gustafsson, Terence van Zyl
A Fast Data Association Method for Visual Multi-Object Tracking
Simon Steuernagel, Marcus Baum
A Spectral-Spatial Deep Learning for Secondary Electron Hyperspectral Image Super-Resolution
ali alsari, Jingqiong Zhang, Nicholas T.H Farr, Cornelia Rodenburg, Lyudmila Mihaylova

Decentralised and distributed fusion

Label Hijacking in Track Consensus-Based Distributed Multi-Target Tracking
Helena Calatrava, Shuo Tang, Pau Closas
GRAFT: Genealogical Reasoning for Fusing Tracks and Hypotheses via Algebraic Lineage Coding in Autonomous Distributed Systems
Kuochu Chang, Shozo Mori, Chee-Yee Chong
Radar-infrared fusion countering mainlobe active deceptive jamming and intelligent jamming-type recognition
Yongyan Gu, Suqi Li, Bailu Wang
Federated Gaussian Process Regression for Spatio-temporal Systems
Felix Gustafsson, Roland Hostettler, Subhrakanti Dey
A maritime dataset for multisensor-multimodal data fusion
Peder Heiselberg, Hasse Pedersen, Szymon Derlecki, Kristian Sørensen, Rikke Uglebjerg, Henning Heiselberg
Standalone Consensus Fusion Module for Decentralized Multi‑Target Tracking in Heterogeneous Sensor Networks
Leonard Kuhn, Johannes Kopp, Timon Bieler, Bastian von Haßler, Lukas Haas, Tobias Hirscher
Square-Root Information Form of Covariance Intersection
Allan Lyon, Zack Fraser, Jackson Kulik, Keith LeGrand
Theoretical Foundation of Distributed Estimation: Dynamic States, Multiple Target Tracking, and Scalability
Shozo Mori, Kuochu Chang, Chee-Yee Chong
Attitude Data Fusion using Frame Consistent Error Definitions and Covariance Intersection
Christopher Nebelecky
Non-parametric SMC-Based Heterogeneous Fusion for Multi-Sensor Tracking in Non-Gaussian Noise
Cong Peng, Haiyi Mao, Yunlian Tian, Yujuan Luo, Xu Tang, Wei Yi
Secure AIoT Swarming in MCP-Orchestrated Agent Systems through Physical Anchoring
Van Tuan Pham, Hozefa Lakadawala, Yu Chen, Erik Blasch
Trusted Orbit Determination via Consensus-Based Data Fusion
Beth Probert, Ruaridh Clark, Erik Blasch, Malcolm Macdonald
Generalized Exponential Mixture Densities for Ignorance-Aware Multi-Sensor Fusion
Kaylee Spencer, Keith LeGrand
SwarmTrust: Spatial Anomaly Detection Through Distributed Geometric Validation in UAV Swarms
Jiachen Wang, Zijiao Tian, Qi Zhao, Xin Tian, Erik Blasch, Khanh Pham, Muhammad A. Qureshi, Mont Orpilla, Genshe Chen
Hierarchical IMM Fusion for Asynchronous Active and Passive Sensors
lionel gayraud, Karim Dahia, sylvain bertrand, marc flecheux

Detection and localisation

Improving D-Optimal Sensor Placement for Bearing-Only Localization via Maximum-Entropy Reweighting
Raktim Bhattacharya
Tracking Time-Varying Multipath Channels for Active Sonar Applications
Ashwani Koul, Gustaf Hendeby, Isaac Skog
Direct target tracking from tensor observations with neural network calibrated arrays
Liangliang Li, Lin Gao, Luigi Chisci, Chaoqun Yang, Alfonso Farina, Huaguo Zhang, Ping Wei
Probabilistic Occupancy Grid for Radio-Based SLAM
Xuhong Li, Erik Leitinger, Fredrik Tufvesson, Florian Meyer
Local Contrast Enhanced Hybrid CNN-Transformer for Radar Small Target Detection
Haiyang Liu, Wujun Li, Yuanhang Wu, Yiru Lin, Wei Yi
Learning to Sharpen Range–Doppler Maps via Unfolded Fourier Optimization
F Omer, R Perets, Y Nati, Nir Shlezinger
A Mixture Model for High-Grazing-Angle Sea-Clutter Amplitude Distribution with Tail-Aware Parameter Estimation
Yuhang Pang, Yaowen Li, Chuan Huang, Shengyi Zhang, Yu Liu
Distant Object Localisation from Noisy Image Segmentation Sequences
Julius Pesonen, Eija Honkavaara, Arno Solin
CFAR Detector Based on Cross-Spectrogram Phase for Marine Distributed Acoustic Sensing
Antoine Roueff, Philippe COURMONTAGNE, Bernard Xerri
Closed-Form Adaptive DOA Estimation using Sensor Array over Spherical Sector
Joel S, Shekhar Yadav, Nithin George
Marine radar position fixing by tracking surrounding vessels
Shuai Sun
A Graph-Based Sample-Correlation Information Fusion Method for Sea Clutter Whitening
Jiachen Tan, Weixing Sheng, Hairui Zhu, Yixin Xu, Yao Gu
Multi-Frame Track-Before-Detect Algorithm for Radar Range Spread Targets
Yunlian Tian, Wujun Li, Cong Peng, Wei Yi
A Dual-UAV Data Fusion Pipeline for Detection and Localization of Armed Individuals from Video
Caio Torkst, Pablo Rangel, Luiz Gustavo Costa Marques de Oliveira, Jonathan Oliveira, Eduardo Bezerra, Claudio De Farias
Georeferencing Distributed Acoustic Sensing Channels Using GPS and DAS Fusion
Khanh Truong, Jo Eidsvik
Acoustic Sensor Fusion for Windshield Stone-Chip Localization
Rasmus Uhlin, Gustav Zetterqvist, Olle Hynén Ulfsjöö, Gabriel Anderberg, Gustaf Hendeby, Martin Skoglund, Fredrik Gustafsson
LLM Enables Coherent Fusion for High-Dynamic UAV Detection in Bistatic MIMO Radar
Mingxing Wang, Rui Yang, Yang Wang, Desheng Chen, Xiaolong Li, Maria Greco, Fulvio Gini
Zone-Based Indoor Localization with Efficient Incomplete RSSI Data Handling through Gaussian Mixture Classification
Leon Winheim, Daniel Frisch, Uwe Hanebeck
A Low-Complexity 3D Direct Target Localization Algorithm Assisted by Reference Channels
Yindong Wu, Qiyu Zhou, Ye Yuan, Wei Yi
Multi-Frequency Path-Loss Fingerprinting-Based Localization Using Deep Neural Networks
Kamil Alp Çınar, Muhammad Sohaib Solaija

Information ('high-level') fusion

PCRLB-based Waveforms Design for Target Tracking in Multistatic Radar Systems
Tao Fan, Augusto Aubry, Antonio De Maio, Luca Pallotta, Xianxiang Yu, Cui Guolong
Integrating Curiosity with Knowledge Acquisition
Kenneth Hintz
STF-DR: Stepwise Fusion of Dual 1-D Angle Radars for 3-D Multi-Target Tracking
Shuaiqi Hou, Jiaye Yang, Yujuan Luo, Xu Tang, Wei Yi
OrthoNet: Semantic Information Fusion of Heterogeneous Knowledge for Orthopedic Decision Support
Francesca Incitti, Anna Iob, Dante Degl'Innocenti, Marco Pavan, Sri Rama Chandra Prasad Challapalli, Lauro Snidaro
Navigating granularity in classification: Informativeness, clarity and accuracy
Anne-Laure Jousselme, Benjamin Pannetier
An Adaptive Fusion-Based Transmission Weighting Framework for Robust Single Image Dehazing
Suresh Babu Lam, Rajesh Kandala, SUNILKUMAR TELAGAM SETTI
Multimodal Data Reliability for Maritime Remote Pilotage Using Multi-Object Tracking Fusion
Morgan Louédec, Dimitrios Papageorgiou, Roberto Galeazzi
Unmanned Aerial Vehicle Attitude Estimation: Comparing EKF With Plug-and-play Methods
David Mueller, Daniel O.M. Weber, Ali Mjalled, Thomas Seel, Martin Moennigmann
Inconsistency-Driven LiDAR-Sonar Fusion for Transparent Obstacles Detection in Off-road Environments
Charifou OROU MOUSSE, Quentin Serdel, Richard ARNAUD, Xavier DAUPTAIN, Roland CHAPUIS
Maintaining Situational Awareness Under Partial Observability Using a Maritime Situational Picture
Fynn Pieper
A Topological Data Analysis Enhanced Full Spectrum Environment-Resilient Surveillance System
Nihal Poredi, Yu Chen, Xiaohua Li, Paul Schrader, Erik Blasch, Erika Ardiles cruz
Vision-to-Graph Fusion for Automated Disassembly: A Digital Twin Approach for Electrical Control Cabinets
Albert Scheck, Jörg Franke, Patrick Bründl
Seeing the Lines: Learning Discriminative Forehead Crease Patterns via Feature Fusion
Geetanjali Sharma, Gaurav Jaswal, Aditya Nigam, Raghavendra Ramachandra
Space-to-Seabed Maritime Surveillance
Kristian Soerensen
Context-specific Credibility-aware Multimodal Fusion with Conditional Probabilistic Circuits
Pranuthi Tenali, Sahil Sidheekh, Saurabh Mathur, Erik Blasch, Kristian Kersting, Sriraam Natarajan
Joint Migration Compensation and Coherent Integration for Maneuvering Extended Targets in Wideband Radar
Qianzi Yuan, Tao Fan, Yuanhao Wu, Xianxiang Yu, Cui Guolong, Zishu He
Semi-Automated Knowledge Engineering and Process Mapping for Total Airport Management
darryl teo, Adharsha Sam, Marcus Koh, Rakesh Nagi, Nuno Antunes Ribeiro

Machine learning

Variational Concept Fusion for Fault-Tolerant Multimodal Learning in Industrial Systems
Diyar Altinses, Andreas Schwung
Deep Learning-Based Lunar Crater Terrain Relative Navigation
Batu Candan, Simone Servadio
Diffusion Based Data Fusion for Discrepancy Modeling in Reduced-Order Systems
Wilfried Genuist
Context-Informed Ship Trajectory Prediction via Conditional Attention
Yuan Guan, Chandler Squires, Timothy Hu, Pradeep Ravikumar
Reducing the Sim-to-Real Gap in Underwater Vehicles with Residual Dynamics Modelling
Oscar Hermansson, Albin Gunnarsson, Jesper Knobe
Causal-Guided Neural Network for Multi-Step Fouling Prediction in Low-Density Polyethylene Tubular Reactors
Yellam Naidu Kottavalasa, Andrea Battaglia, Giovanni Bevilacqua, Gianni Marchetti, Andrea Salfinger, Alberto Ferrer, Lauro Snidaro
Enhanced 3D Gaussian Splatting for Harbor Environment Simulation Content Creation
Christian Le, Kjetil Vasstein, Edmund Brekke, Annette Stahl
Multimodal AI Track-to-Track Association in Maritime Surveillance: Systematic Review, Simulation and Modular AI Architecture
Victor Levrel, Sylvain Gatepaille
Towards Safe Reinforcement Learning-Based Traffic Control via Safety-Layer Action Correction
Xingyu Liu, Lyudmila Mihaylova
Multi Modal Sensor Fusion using Hybrid Attention Mechanism for Autonomous Driving Applications
Mayank Mayank, Bharanidhar Duraisamy, Florian Geiß
A Data-Centric Analysis for Improved Object Detection in Coastal Maritime Surveillance
Fernando Mussio, Marcos Maximo, Stiven Dias, André Braga
Preliminary Insights in Chronos Frequency Data Understanding and Reconstruction
Alessandro Pagani, Marco Cominelli, Liying Han, Gaofeng Dong, Sergio Benini, Francesco Gringoli, Mattia Savardi, Mani Srivastava, Trevor Bihl, Erik Blasch, Daniel Brigham, Kara Combs, Lance Kaplan, Federico Cerutti
Fully Bayesian Bayesian Optimization with Sequential Monte Carlo Samplers
Sean Parry, Matt Bright, Jake Haynes, Simon Maskell, Alessandro Varsi
Estimators and Fusers for Fiber Delay Estimation Using Environmental Measurements
Nageswara Rao, Muneer Alshowkan, Joseph Chapman, Aneesh Ramaswamy, Nicholas Peters
Multi-Model Comparison for Weather Nowcasting: Integrating Predictive Performance, Green AI and Explainability
Joao Rezende, Gyslla de Vasconcelos, Gabriel Breder, Mariza Ferro
Local Modified Cramér–von Mises Distance for Uncertainty Calibration Assessment in Regression
Markus Walker, Simon Klaus, Marcel Reith-Braun, Uwe Hanebeck
Probabilistic Regression via Neural Network Ensembles
Leon Winheim, Hayk Amirkhanian, Markus Walker, Uwe Hanebeck, Marco Huber
Information-Theoretic Regularization for High-Dimensional Vines: Mitigating Overfitting and Accelerating Estimation in Small Sample Regimes
Tobias Wolf, Andreas Wirsen, Tobias Damm
Beam Scheduling for Co-frequency Distributed Array Sensor Networks: A CTDE Framework Based on Counterfactual Advantage Actor-Critic
鹂沣张, Ye Yuan, Wei Yi

Navigation

Sparse Polynomial Approximation of Closed-Loop Optimal Control Law for Zero-Sum Pursuit-Evasion Games
Ryan Glenn, Puneet Singla
BLEDAR: Bluetooth LE Direction and Ranging Fused with Inertial Sensing for GNSS-denied Navigation
Kristoffer Gryte, Glen Hjelmerud Mørkbak Sørensen, Johan Suárez, Torleiv Bryne, Kimmo Kansanen, Tor Johansen
Bio-Inspired Magnetic Navigation Using Gradient Descent With Rao–Blackwellized Particle Filtering
Zayed HERMA
Observability-Aware Segmentation and Selection Algorithm for Minimal Measurements of LiDAR-IMU Fusion
Dongha Kwon, Sangkyung Sung
Fault Detection and Exclusion versus Robust Loss Functions for GNSS/INS Factor-Graph-based Sliding-Window Estimation in Urban Canyons
Finn Maurer, Erlend Basso, Torleiv Bryne
Estimation Performance for Absolute and Relative Cislunar Spacecraft-to-Spacecraft Navigation
Ryan Menges, Daniel Scheeres, Derek Tuggle
LogDepth-VIO: Tightly Coupled Monocular Visual–Inertial Odometry with Log-Space Depth Anchors
Xianmin Mo, Deqiang Han, Bolun Zhang
Gyro Calibration and State Estimation using a Geometric Extended Kalman Filter
Nathan Rishe, Christopher Nebelecky, John Crassidis
Evaluating the Performance of Terrain-Aided Navigation Using a Stochastic Map Model
Eric Sevonius, Fredrik Gustafsson, Gustaf Hendeby
Simultaneous Train Localization and Radio Transmitter Mapping with TDoA and Magnetic Field Measurements
Benjamin Siebler, Stephan Sand, Uwe Hanebeck
Online calibration of phased-array radio antenna orientation using factor graph optimisation
Glen Hjelmerud Mørkbak Sørensen, Torleiv Bryne, Kristoffer Gryte, Tor Johansen
Accurate and Robust GNSS-VIO Localization through Covariance-Aware Pose Graphs
Maximilian von Arnim, César Debeunne, Yoko Watanabe, Damien Vivet

Non-Bayesian fusion theory

Sensor Design for Accuracy-Bounded Estimation via Maximum-Entropy Likelihood Synthesis
Raktim Bhattacharya
Decision-Driven Credal Information Fusion
A Q M Sazzad Sayyed, Michele Caprio, Nathaniel Bastian, Francesco Restuccia
Disbelief-Favouring Trust Discounting for Adversarial Multi-Hop Trust Assessment using Subjective Logic
Nataša Trkulja, Benjamin Erb, Frank Kargl

Nonlinear filtering and stochastic theory

On using the NEES matrix for filter performance evaluatio
Jiří Ajgl, Ondrej Straka
Non-Iterative Generation of Gaussian Mixture Models for Tracking Satellites in Cartesian Coordinates
Joseph Carragher, Paul Miceli
A Quantum Fourier Transform-Based Prediction Algorithm for Grid-Based Filters
Yeongkwon Choe, Chan Gook Park, Jindrich Dunik, Jan Krejčí, Jakub Matousek, Marek Brandner
Efficient Reduced-Dimensional Cubature/Progressive Filtering Applied to Negative Information
David Crouse
Adaptive Manifold-Aware Particle Filtering for High-Dimensional Nonlinear State Estimation
Petar Djuric, Nahid Shirdel Abdolmaleki, Joaquin Miguez
Kernel-Based Statistical EnGMF
Dalton Durant, Renato Zanetti
Simultaneous State Estimation and Online Model Learning in a Soft Robotic System
Jan-Hendrik Ewering, Max Bartholdt, Simon F. G. Ehlers, Niklas Wahlstroem, Thomas B. Schön, Thomas Seel
Grid-based Estimation with Dynamic Rank-Preserving Hierarchical Tucker Decomposition
Joshua Gehlen, Felix Govaers, Jindrich Dunik, Wolfgang Koch
Rank-1 Decomposition for Grid-Based Likelihood Functions of Measurements in Polar Coordinates
Felix Govaers, Joshua Gehlen
Low-discrepancy Ensemble Kalman Filter
Uwe Hanebeck, Ryne Beeson
Learning Observation Model for SLAM via Random Fourier Features in a Kernel Kalman Filter
Bastien Hubert, Karim Dahia, Nicolas Merlinge, Audrey Giremus
On the Properties of the Spherical Analogue of the Epanechnikov Kernel for Directional Kernel Density Estimation
Zain Jabbar, Uwe Hanebeck, Andrey Popov
A Variational Pseudo-Observation Guided Nudged Particle Filter
Theofania Karampela, Ryne Beeson
Alternating State Estimation and Model Learning for Improved State Prediction
Sebastian Karlsson, Isaac Skog, Gustaf Hendeby
Deterministic Prior Sample Set Prediction Approaches for Newton-Flow Particle Filters
Sukkeun Kim, Uwe Hanebeck
Deterministic Sampling of the Watson Distribution
Vlad M. Korsakov, Daniel Frisch, Uwe Hanebeck
Numerically robust Gaussian state estimation with singular observation noise
Nicholas Krämer, Filip Tronarp
Point-Field Modelling of Post-Fragmentation Orbital Debris Dynamics: A Field-Theoretic Analysis
Idyano Leroy, Emmanuel Delande, Christophe Taillan, Daniel Clark
Square-Root Variational Gaussian Filter with Natural Gradient Descent
Yi Liu, Xi Li, Le Yang, Lyudmila Mihaylova, Ji Li
A Multiple-Try Metropolis-Adjusted Langevin Algorithm on Matrix Lie Groups
Enzo Lopez, Karim Dahia, Nicolas Merlinge, Bénédicte Winter-Bonnet, Alain Maschiella, Christian Musso
Tensor Decompositions for Online Grid-Based Terrain-Aided Navigation
Jakub Matoušek, Jan Krejčí, Jindrich Dunik, Renato Zanetti
Fast Deterministic Sampling of Gaussian Mixture Densities using Projected Cumulative Distributions
Dominik Prossel, Zhilun Li, Petr Novikov, Uwe Hanebeck
Greedy Taylor Expansions for Efficient Gaussian Mixture Propagation
Gerard Siciliano, Andrea De Vittori, Keith LeGrand, Jackson Kulik
Learning Adaptive Parameter Policies for Nonlinear Bayesian Filtering
Ondrej Straka, Felipe Giraldo-Grueso, Renato Zanetti
A copula-based Gromov flow filter
Amit Subrahmanya, Vishwas Rao, Andrey Popov
A Riemannian and Metric-Invariant Formulation of the Tensorial Multiscale Kalman Filter with Application to Image Fusion
mario Versaci, Francesco Carlo Morabito, Alfonso Farina
Sheaf Laplacian Sparsification on Graphs
Minghua Wang, Elisha Brooks, Vasileios Maroulas
Coordinates Bending for Measurement Update
Renato Zanetti, Felipe Giraldo-Grueso
Closed-Form Multi-Anchor Wasserstein Barycenters for High-Quality Assumed Gaussian Filtering
Jiachen Zhou, Uwe Hanebeck

Target tracking

Threat Scoring Methods for UAVs in Urban Security
Duygu Acar, Hakan Maral, Mustafa Yorulmaz, Handan Çalışkan Güngör, Serkan Kaya
Changing the Past to Improve the Future: Fixed-Lag Particle Filtering with NUTS Proposal in Stone Soup
Alberto Acuto, Paul Horridge, Lyudmil Vladimirov, Alessandro Varsi, Simon Maskell
VLO Track Extraction: From MLPDA to Fusion via MSMLPDA
DJEDJIGA BELFADEL, Yaakov Bar-Shalom
Dynamic Models for Extended Object Tracking of Surface Vessels
Martin Baerveldt, Simen Rørvik, Edmund Brekke
Combining Generative and Discriminative Models with Graph Neural Networks for Data Association
Xianglong Bai, Gang Li, Enchun Ma, Quan Pan, Zengfu Wang
Neural Probability Calculation in IMM Filters without a Markov Chain
Ibrahim Bayzan, Sanem Sarıel, Umut Orguner
Dynamic Birth Rate Measurement Driven Birth Model for Labeled RFS Filters
Stephen Braun, Anthony Murray, Donald J. Bucci Jr, Aidan Tweedy
Multi-Rate Sensor Fusion of Line-Scan and Event-Based Vision for Low-Latency Sensor-Based Sorting
Paul Bäcker, Marius Häcker, Johannes Baßler, Ilshat Mamaev, Georg Maier, Michael Heizmann, Thomas Längle
Single-Target Tracking and Detection Probability Calibration in Binary Sensor Networks
Helena Calatrava, Daniel Chu, Edwin Marengo, Pau Closas
Superelliptical extended object tracking using variational Bayesian inference
Chenyu Chen, Lin Gao, Yuxuan Xia, Chaoqun Yang, Wanchun Li, Ting Yuan, Ping Wei
Advances in MHT Calibration and Processing
Stefano Coraluppi, Peter Kingston, Andrew Hunter
Design of Kalman Filter for Tracking Maneuvering Targets with FMCW Waveforms
Jonathan Coto, William Blair
At Any Rate: Switching Gamma-Gaussian Filter for Tracking with Mode-Dependent Detection Rates
Ossian Eriksson
Extended Object Tracking via Radial-Based Signed Distance Functions with Gaussian Process Implicit Surface Fusion
Eugen Ernst, Florian Pfaff
A dual-layer RFS approach for robust radar tracking under mainlobe active deceptive jamming
Jia Fei, Suqi Li, Bailu Wang
Evaluation of track fusion algorithms and a bias-corrected PCRLB for multisite radar elevation multipath
Richard Focke, Jacques Cilliers
Active Source Seeking in Spatio-Temporal Fields
Nicola Forti, Giorgio Battistelli, Luigi Chisci
Gaussian process LMB filter for robust data-driven multi-target tracking
Lin Gao, Yue Li, Luigi Chisci, Chaoqun Yang, Chang Liu, Shengbo Li, Ting Yuan
Measurement Fusion for Track Initialization of Objects Ejected by a Carrier
Dennis Garcia, Qin Lu, Yaakov Bar-Shalom, Peter Willett, Benny Milgrom, Meir Danino
Variational PMB filter via coordinate descent Kullback-Leibler divergence minimisation
Ángel García-Fernández, Yuxuan Xia
A kernel enabled data driven LMB filter for multi-target tracking
Yuhong Guo, Yue Li, Xinchen Xie, Yimao Sun, Yanbing Yang, Lin Gao
PCRLB-Based Trajectory Optimization for an Airborne Passive Radar Receiver
Sebastian Handke, Christian Steffes, Wolfgang Koch
Track-Before-Detect for Maritime Radar Tracking: Application to Real Data
Lukas Herrmann, Ángel García-Fernández, Edmund Brekke, Egil Eide
Extending a Nonlinear Bias Estimation Approach for Multisensor Multitarget Fusion for N Sensors
Shaun Hoyt, William Blair, Aaron Lanterman
Linear Distributed Filter for Multiagent Passive Target Tracking: Fast Convergence and Consistency
JiHoon Kang, Ick-Ho Whang, Won-Sang Ra
A Measure-Theoretic Foundation for Functional Derivatives of PGFLs
Jan Krejčí, Ondrej Straka, Petr Girg, Jiří Benedikt
A Belief Propagation-Based Track-Before-Detect Method for Objects Covering Multiple Data Cells
Thomas Kropfreiter, Jason Williams, Franz Hlawatsch, Florian Meyer
Context-Aware Sensor Modeling for Asynchronous Multi-Sensor Tracking in Stone Soup
Martin Larsen, Kim Mathiassen
3D extended object tracking based on superquadrics
Yue Li, Giorgio Battistelli, Luigi Chisci, Nicola Forti, Lin Gao, Matteo Tesori
Variational Autoencoder based Uncertainty-Aware Target Joint Detection and Tracking
Yiru Lin, Xi Cao, Chuanfei Zang, Haiyang Liu, Wei Yi
A Sequential Monte Carlo Implementation of the Trajectory-IEMB Filter for Track-Before-Detect
Sion Lynch, Ángel García-Fernández, Lee Devlin
Variational Bayesian Multi-Target Tracking with Sinkhorn-Embedded Data Association
Yuxiang Mao, Xin Wang, hua Lan
Adaptive Learned State Estimation based on KalmanNet
Arian Mehrfard, Bharanidhar Duraisamy, Stefan Haag, Florian Geiß, Mirko Mählisch
Principled Centroid Gating for Random Matrix Extended Object Tracking
Nis Meinert, Michailas Romanovas
SODA-CitrON: Static Object Data Association by Clustering Multi-Modal Sensor Detections Online
Jan Nausner, Kilian Wohlleben, Michael Hubner
On Riemannian Angle Tracking of a Nearly Constant Acceleration Target on the Unit Sphere
Umut Orguner, Aslı Gündüz (Ülgen)
TMA with TDOA in 3D: observability and estimation
Annie-Claude PEREZ, Claude Jauffret
A Quadratic Reward for Information-Driven Sensor Management in Multi-Target Tracking
Peter Richards, Daniel Clark, Idyano Leroy
The IPDA Filter with State-Dependent Existence Probability Function
ROY STREIT
The Persistence Model for Multi-Object Tracking: Modeling Error Impact and Parameter Estimation
Alexander Scheible, Thomas Wodtko, Michael Buchholz
Handling Partial Occlusion in Multi-Target Tracking with z-Buffering
Till Schellscheidt, Nils Kornfeld
Tracking Objects in Cislunar Space using a Modular Force Model Framework
Christopher Sherman, Jordi Barr, Benedict Oakes
Multisensor Data Fusion for Track Detection of VLO Targets
Matthew Silverman
Object Tracking Quality by Radar Multilateration with TDoA-AoA Measurements
Marek Siriste, Ondrej Straka
Predicting Future Occupancy from Extended Object Tracker Outputs
Johannes Skarø, Martin Baerveldt, Annette Stahl, Rudolf Mester, Edmund Brekke
Adaptive Entropy-Driven Sensor Selection in a Camera-LiDAR Particle Filter for Single-Vessel Tracking
Andrei Starodubov, Yaqub Prabowo, Andreas Hadjipieris, Ioannis Kyriakides, Roberto Galeazzi
Multi-object Tracking in 3D LiDAR Based on Frame-wise Differences
Lukas Steinegger, Simon Steuernagel, Marcus Baum
Geometric Line-of-Sight Error-State Extended Kalman Filter using Minimal Strapdown Sensing
Ruben Tabuchi Fukuhara, Felipe Oliveira e Silva
Proximity-Aware Audio-Visual Tracking with a Poisson Multi-Bernoulli Mixture Filter
Rasmus Uhlin, Martin Skoglund, Gustaf Hendeby
Continuous Process Noise Models for Maneuvering Target Tracking
Bora Unalmis, Brandon Jones
I-OKF: Interacting Optimized Kalman Filters
Yigit Uz, Kutay Demiray, Özgür Öğüz
Localizing Noncooperative Emitters via Distributed Sensors: Gaussian Sum Filtering Approach
Paulina Verbaityte, Ossi Kaltiokallio, Jukka Talvitie, Elena Lohan, Mikko Valkama
Model-Based GNN MARL for Joint Beampattern Design and Resource Allocation in LPI-Constrained Tracking Radar Systems
Zechong WANG, Dongxu An, Yipeng Zhang, Maria Greco, Fulvio Gini
A Sonar Signal Processing Plugin for Stone Soup
Joshua Wakefield, Finley Boulton, Daniel Colquitt, Jason Ralph, Duncan Williams
Normalizing Flow for Neural-Enhanced Track-Before-Detect
Shaoxiu Wei, Bhaskar Rao, Florian Meyer
Event-Triggered Distributed Target Tracking via PRIMEX
Yuxuan Xia, Kuochu Chang, Xueqi Qiu, Lin Gao, Chaoqun Yang, Ting Yuan
Observability Analysis for Fusion of Doppler Measurements in Multistatic Radar Near the Tx-Rx
Rong Yang, Yaakov Bar-Shalom
A Practical Scalable Modular Target of Interest Tracking Framework for UAV Surveillance
Kaipei Yang, Yaakov Bar-Shalom, Gee Wah Ng, Kiat Nern Yeov
Conditional Markov Modeling and Hybrid Estimation for Formation Flights
Peijie Yang, Shunyi Luo
Joint Average Fusion and Temporal Registration: GA-based Distributed Bernoulli Filtering
Zhang Yuchen, Guchong Li, Li Tiancheng
Geometry-Aware Time-Varying Measurement-Mode Sets for Roadside Radar Multipath Tracking
Wanying Zhang, Yun Zhu, Jing He, Shun Liu
Learning Track Continuity and Adaptive Initiation for Transformer-based Multi-Target Tracking
Sinuo Zheng, Xiaolong Wan, Peiyu Ni, Aobo Shi, Xinwei Wei, Wei Yi
Distributed neural network enhanced alpha-divergence nonlinear filtering
Yao Zhou, haiyang sun, Lin Gao, Jingling Li, Gaiyou Li, Ping Wei
Exponential functional link network based target tracking under unknown dynamic models
kunhan gao, Jingling Li, Lin Gao, Chaoqun Yang, Muran Guo, Ping Wei
Multiscale Curve Transform for Multimodal Multi-Target Trajectory Detection
song yan, Li Tiancheng, Wang Jingyuan, Guchong Li, Juan Corchado

Accepted Papers

Accepted Papers

Accepted papers by topic

Accepted papers by topic

Organisers RSB

Organisers

Sponsors