| 2024 | 27th International Conference on Information Fusion, FUSION 2024, Venice, Italy, July 8-11, 2024 |
| 2024 | 3D-Extended Object Tracking and Shape Classification with a Lidar Sensor using Random Matrices and Virtual Measurement Models. Patrick Hoher, Tim Baur, Johannes Reuter, Dennis Grießer, Felix Govaers, Wolfgang Koch |
| 2024 | A Batch Update Using Multiplicative Noise Modelling for Extended Object Tracking. Christian Gramsch, Shishan Yang, Hosam Alqaderi |
| 2024 | A Bayesian Approach - Data fusion for robust detection of vandalism and trespassing related events in the context of railway security. Michael Hubner, Kilian Wohlleben, Martin Litzenberger, Stephan Veigl, Andreas Opitz, Stefan Grebien, Maria-Theresia Dvorak |
| 2024 | A Bayesian Decision Theory Paradigm for Test and Evaluation. James P. Ferry, Adam S. Ahmed |
| 2024 | A CRLB for Passive Only TDOA Localization From a Three-Dimensional Hydrophone Array. Ryan Harvey, Krishna R. Pattipati, Peter Willett |
| 2024 | A Computationally Efficient Multi-Channel Multi-Pulse Coherent Fusion Algorithm for High-Speed Target Detection. Desheng Chen, Xiaolong Li, Mingxing Wang, Lingjie Guan, Guolong Cui |
| 2024 | A Cross-modal Fusion Method for Multispectral Small Ship Detection. Yang Liu, Yu Liu, Xueqian Wang, Linping Zhang, Zhizhuo Jiang, Yaowen Li, Chenggang Yan, Ying Fu, Tao Zhang |
| 2024 | A Deep Reinforcement Learning-Based Whittle Index Policy for Multibeam Allocation. Yuhang Hao, Zengfu Wang, Jing Fu, Quan Pan |
| 2024 | A Dual-threshold Based Evidential Openmax Approach for Open Set Recognition. Zhuo Yang, Deqiang Han, Yi Yang, Jean Dezert |
| 2024 | A Federated Learning Mechanism with Feature Drift for Feature Distribution Skew. Jihao Yang, Xinyang Deng, Laisen Nie, Wen Jiang |
| 2024 | A Gaussian Process-based Streaming Algorithm for Prediction of Time Series With Regimes and Outliers. Daniel Waxman, Petar M. Djuric |
| 2024 | A General Low-Parameter 3D Ship Hull Extent Model for Object Tracking. Michael Ernesto López, Kjetil Vasstein, Edmund Brekke, Rudolf Mester, Annette Stahl |
| 2024 | A Hybrid Model for Detection and Classification of Fishing Activity: A Context-Based Approach. Pablo Rangel, Vinícius Maravalhas de Abreu Nunes, Matheus Da Rocha Salazar, Reinaldo Albuquerque Simões, Luiza Morgado de Castro Rosa, José Gomes de Carvalho Júnior |
| 2024 | A Monte Carlo Tree Search Framework for Autonomous Source Term Estimation in Stone Soup. Timothy J. Glover, Rohit V. Nanavati, Matthew Coombes, Cunjia Liu, Wen-Hua Chen, Nicola Perree, Steven Hiscocks |
| 2024 | A New Architecture for Neural Enhanced Multiobject Tracking. Shaoxiu Wei, Mingchao Liang, Florian Meyer |
| 2024 | A Novel Audio-Visual Information Fusion System for Mental Disorders Detection. Yichun Li, Shuanglin Li, Syed Mohsen Naqvi |
| 2024 | A Novel Distributed Bernoulli Filter with Adaptive Event-Triggered Communication. Litao Zheng, Yunze Cai, Feng Yang, Lihong Shi |
| 2024 | A Poisson Multi-Bernoulli Mixture approach to tracking trains using Distributed Acoustic Sensing. Marco Fontana, Thomas Hayder, William Freilinger, Ángel F. García-Fernández, Simon Maskell |
| 2024 | A Pole Detection and Geospatial Localization Framework using LiDAR-GNSS Data Fusion. Durga Prasad Bavirisetti, Gabriel Hansen Kiss, Frank Lindseth |
| 2024 | A Probabilistic Focalization Approach for Single Receiver Underwater Localization. Luisa Watkins, Pietro Stinco, Alessandra Tesei, Florian Meyer |
| 2024 | A Qualitative Causal Approach to Determining Adequate Training Data Quantity for Machine Learning. Franck Mignet, Filip S. Slijkhuis, A. Abouhafc, Gregor Pavlin, Kathryn B. Laskey |
| 2024 | A Quantum Algorithm for the Prediction Step of a Bayesian Recursion. Felix Govaers |
| 2024 | A Radar Dataset from the Trondheim City Canal. Petter Hangerhagen, Edmund Førland Brekke, Egil Eide, Roger Skjetne |
| 2024 | A Range Deception Interference Recognition and Target Detection Method Based on Coherent Fusion Processing for Multistatic Radar System. Wei Li, Xiaolong Li, Fan Yang, Guolong Cui, Xiaobo Yang |
| 2024 | A Rao-Blackwellized Particle Filter for Superelliptical Extended Target Tracking. Ogul Can Yurdakul, Mehmet Çetinkaya, Enescan Çelebi, Emre Özkan |
| 2024 | A Self-calibration Kalman Filter Algorithm for Dual-axis RINS Based on the Transverse Ellipsoidal Earth Model. Pengcheng Mu, Shilong Jin, Zhikun Liao, Zhonghong Liang, Yuanhan Wang, Lin Wang |
| 2024 | A Variational Approach to Robust Bayesian Filtering. Kyle J. Craft, Kyle J. DeMars |
| 2024 | A model for an imperfect knowledge base for high-level information fusion experiments. A-L. Jousselme, P. C. Costa, A. Akli, G. Arcieri |
| 2024 | A new Method for parametric BBF generation. Alexandre Jacquemart, Sio-Song Ieng, Mokrane Hadj-Bachir, Dominique Gruyer |
| 2024 | AI-ARC Baltic Demo: Detecting Illegal Activities at Sea. Pontus Svenson, Anders Holst, Anders Wallberg, Paavo Nevalainen, Farshad Farahnakian, Alfonso Álamo, Vincenzo Germinara, Daniel Schweizer, Matthis Leicht, Mathias Anneken, Adrian H. Hoppe, Aristeidis Karalis, Ashraf Labib, María Eugénia Beltrán, Liss Hernández, Petteri Partanen, Minna Markkanen |
| 2024 | Active Sensing for Target Tracking: A Bayesian Optimisation Approach. Xingchi Liu, Lyudmila Mihaylova |
| 2024 | Adaptive Kalman Filtering Based on Subjective Logic Self-Assessment. Thomas Griebel, Johannes Müller, Michael Buchholz, Klaus Dietmayer |
| 2024 | Adaptive Kriging Particle Filter and its Application to Terrain-Aided Navigation. Bastien Hubert, Karim Dahia, Nicolas Merlinge, Audrey Giremus |
| 2024 | Adaptive Resilience in Navigation: Multi-Spoofing Attacks Defence with Statistical Hypothesis Testing and Directional Receivers. Antonello Venturino, Enrica d'Afflisio, Nicola Forti, Paolo Braca, Peter Willett, Moe Z. Win |
| 2024 | Adaptive Robust Continual Learning based on Bayesian Uncertainty Propagation. Deepak Kandel, Dimah Dera |
| 2024 | Adaptive Temporal Decorrelation of State Estimates. Zachary Chance |
| 2024 | Advancing Smartphone-based Indoor Positioning through Particle Distribution Optimization. Toni Fetzer, Markus Bullmann, Steffen Kastner, Frank Deinzer, Marcin Grzegorzek |
| 2024 | Aircraft Localization by Interacting Multiple Model Filtering in Wide Area Multilateration. Ludovico Mazzi, Mattia Brambilla, Michele Guardiani, Maximilian James Arpaio, Monica Nicoli |
| 2024 | An Analysis of the Mutual Information Upper Bound for Sensor-Subset Selection. Idyano Leroy, Augustin A. Saucan, Yohan Petetin, Daniel Clark |
| 2024 | An Integration Detection Approach for High-Speed Maneuvering Target in Airborne Coherent MIMO Radar. Mingxing Wang, Xiao Li, Xiaolong Li, Longji Gao, Desheng Chen, Guolong Cui |
| 2024 | An Intrinsic Modified Cramér-Rao Bound on Lie Groups. Sara El Bouch, Samy Labsir, Alexandre Renaux, Jordi Vilà-Valls, Eric Chaumette |
| 2024 | Anonymous, Extent-Informed Navigation for Map-Based Localization using Random Finite Sets. James D. Brouk, Kyle J. DeMars |
| 2024 | Are Non-Gaussian Kernels Suitable for Ensemble Mixture Model Filtering? Andrey A. Popov, Renato Zanetti |
| 2024 | Assessing fidelity in synthetic datasets: A multi-criteria combination methodology. Alexandra Duminil, Sio-Song Ieng, Dominique Gruyer |
| 2024 | Association of SAR Measurements in Coastal Regions using Existing Tracks of Marine Vessels. Alexander Meyer Sjøberg, Brita H. H. Gade, Carina N. Vooren, Morten Kloster |
| 2024 | Asymptotic Analysis of Uncertain Naïve Bayes via Second-Order Probabilities. Lance M. Kaplan, James Zachary Hare |
| 2024 | Attitude Motion Characterization of Resident Space Objects via Fusion of Ground-based and Space-based Light Curves. Pasquale Bencivenga, Giorgio Isoletta, Roberto Opromolla, Giancarmine Fasano |
| 2024 | Automated Acoustic Tracking of a Sperm Whale (Physeter macrocephalus) using a Wide Baseline Array of Sensors. Pina Gruden, Eva-Marie Nosal, E. Elizabeth Henderson |
| 2024 | Automatic Extrinsic Multi-Sensor Network Calibration based on Time Series Matching. Sonja Schuster, Johannes Wetzel, Samuel Zeitvogel, Astrid Laubenheimer |
| 2024 | Autonomous Area Search in the Framework of Possibility Theory. ZhiJin Chen, Branko Ristic, Du Yong Kim |
| 2024 | Autonomous Inspection and Data Fusion for Maritime Critical Infrastructures. Fletcher Thompson, Peter Nicholas Hansen, Roberto Galeazzi, Marco Palma, Andreas Libonati Brock, Patrizio Mariani |
| 2024 | Ballistic Target Tracking Using Range Spread Measurements of a Wideband Radar Seeker. Boyoung Jung, Chan-Seok Lee, Won-Sang Ra |
| 2024 | Bayes Optimal Cardinality Filters for Streaming Count Data. Roy L. Streit |
| 2024 | Bayesian Integration for Deep-Space Navigation with GNSS Signals. Oliviero Vouch, Andrea Nardin, Alex Minetto, Simone Zocca, Fabio Dovis, Lauren Konitzer, Joel J. K. Parker, Benjamin Ashman, Fabio Bernardi, Simone Tedesco, Samuele Fantinato |
| 2024 | Bayesian Simultaneous Localization and Multi-Lane Tracking Using Onboard Sensors and a SD Map. Yuxuan Xia, Erik Stenborg, Junsheng Fu, Gustaf Hendeby |
| 2024 | Bimodal Multi-Object Localisation, Siteswap Inference, and Analysis for Competitive Juggling. James M. Cozens, Simon J. Godsill |
| 2024 | Bures-Wasserstein Barycentric Coordinates with Application to Diffusion Tensor Image Smoothing. Hanning Tang, Xiaojing Shen, Hua Zhao, Zhiguo Wang, Pramod K. Varshney |
| 2024 | Burnished Flow Filter. Rachel Mamich, Kristen Michaelson, Andrey A. Popov, Renato Zanetti |
| 2024 | CBMeMBer Filter based Resolvable Group Target Tracking via Graph Theory and Leader-Follower Model. Xinchao Zhu, Chaoqun Yang, Chengwei Zhou, Zhiguo Shi |
| 2024 | Causal Knowledge in Data Fusion: Systematic Evaluation on Quality Prediction and Root Cause Analysis. Jingyi Yu, Tim Pychynski, Karim Said Barsim, Marco F. Huber |
| 2024 | Coherent Integration of Optical Flow for Track-Before-Detect Radar Detection. Lukas Herrmann, Edmund Førland Brekke, Egil Eide |
| 2024 | Collaborative Calibration Algorithm in Redundant Dual-axis RINS Configuration. Zhonghong Liang, Yuanhan Wang, Zhikun Liao, Pengcheng Mu, Hui Luo, Lin Wang |
| 2024 | Combining Short and Wide Baseline Stereo Cameras for Improved Maritime Target Tracking. Nicholas Dalhaug, Annette Stahl, Rudolf Mester, Edmund Førland Brekke |
| 2024 | Computer Vision-based road surveillance system using autonomous drones and sensor fusion. Pablo Zubasti Recalde, Mario Saiz Fernández, Jesús García Herrero, José Manuel Molina López |
| 2024 | Conflict Handling in Time-Dependent Subjective Networks. Thomas Wodtko, Thomas Griebel, Alexander Scheible, Michael Buchholz |
| 2024 | Consensus-based distributed streaming coupled tensor factorization. Liangliang Li, Lin Gao, Luigi Chisci, Ping Wei, Huaguo Zhang, Alfonso Farina |
| 2024 | Conservative Compression of Information Matrices using Event-Triggering and Robust Optimization. Christopher Funk, Benjamin Noack |
| 2024 | Constrain, Correspond, Correct: Distributed Game-Theoretic Data Association for Assignment Games on Multimodal Sensing Grids. Robert J. Ravier, Denis Garagic, Travis Galoppo, Rex Jameson, Bradley J. Rhodes, Peter Zulch |
| 2024 | Cooperative Positioning with Multi-Agent Reinforcement Learning. Bernardo Camajori Tedeschini, Mattia Brambilla, Monica Nicoli, Moe Z. Win |
| 2024 | Credal Valuation Network for Ongoing Threat Assessment. Branko Ristic, Alessio Benavoli |
| 2024 | Cross-Modal Attention for Multimodal Information Fusion: A Novel Approach to Attention Deficit Hyperactivity Disorder Detection. Christian Nash, Rajesh Nair, Syed Mohsen Naqvi |
| 2024 | CuES: Conditional Uncorrelation-based Characteristic Enhancement and Fusion of Electrical Signals. Zhaohui Wang, Yue Zhang, Jin Zhou, Haohao Cai, Xichun Liu, Jianji Wang, Nanning Zheng |
| 2024 | Dark-VADER: Detection of Anomalous AIS Message Delays for Maritime Situational Awareness. Giorgio Ioannou, Domenico Gaglione, Leonardo Maria Millefiori, Alfredo Renga, Paolo Braca, Peter Willett |
| 2024 | Data Fusion Pipeline for UAV-Based Real-Time Night Crowd Counting for Public Safety. Kiat Nern Yeo, Yan Ling Lau, Gee Wah Ng |
| 2024 | Debiasing Nonlinear Transformations Involving Correlated Measurement Components. David Frederic Crouse |
| 2024 | Decentralised Gradient-based Variational Inference for Multi-sensor Fusion and Tracking in Clutter. Qing Li, Runze Gan, Simon J. Godsill |
| 2024 | Decentralised multi-sensor target tracking with limited field of view via possibility theory. Jeremie Houssineau, Chenbao Xue, Han Cai, Murat Uney, Emmanuel Delande |
| 2024 | Decentralized Direct Localization Based on Gauss-Newton Method in Multi-Sensor Networks. Guoxin Zhang, Yunfei Liang, Cong Wang, Wei Yi, Hien Quoc Ngo, Michail Matthaiou, Pramod K. Varshney |
| 2024 | Decompose, Enrich, and Extract! Schema-aware Event Extraction using LLMs. Fatemeh Shiri, Farhad Moghimifar, Reza Haffari, Yuan-Fang Li, Van Nguyen, John Yoo |
| 2024 | Defect detection MultiHeadAttention Fusion model on images acquired with different light sources. Michele Somero, Federico Urli, Lauro Snidaro, Alessandro Liani |
| 2024 | Design of Two-Model IMM Estimators for Tracking Maneuvering Targets. William Dale Blair, Yaakov Bar-Shalom |
| 2024 | Design of Unitless Normalized Measure of Nonlinearity for State Estimation. Ondrej Straka, Jindrich Havlík |
| 2024 | Detection and tracking of airplanes on runways with passive radar data. Martina Broetje |
| 2024 | Distributed Information Bayesian Recursive Update Filter. Lili Wang, Keith A. LeGrand, Shreyas Sundaram |
| 2024 | Does fusion of complementary spectral bands improves the cross-illumination on the performance of gender prediction? Narayan Vetrekar, Marissa de Ataide, Krishna Patel, Raghavendra Ramachandra, Rajendra S. Gad |
| 2024 | Dominant Mode Extraction Based on the Four-Dimensional Variational Method. Hiromichi Nagao, Shin-Ichi Ito, Mitsuru Matsumura |
| 2024 | Efficient Centralised and Decentralised Gaussian Process Approaches for Online Tracking within Stone Soup. Chenyi Lyu, Xingchi Liu, James Wright, Jordi Barr, Alasdair Hunter, Lyudmila Mihaylova |
| 2024 | Efficient Implementation of Multi-sensor Adaptive Birth Samplers for Labeled Random Finite Set Tracking. Jennifer Bondarchuk, Anthony Trezza, Donald J. Bucci |
| 2024 | Efficient Spectral Differentiation in Grid-Based Continuous State Estimation. Jakub Matousek, Jindrich Duník, Marek Brandner |
| 2024 | Efficient Token Sparsification Through the Lens of Infused Knowledge. Bohua Peng, Bin Chen, Wei He, William Thorne, Visakan Kadirkamanathan |
| 2024 | Enhanced Kinetochore Detection During Mitotic Human Cell Division using CFAR. Abdullahi Daniyan, Alessio V. Inchingolo, Andrew D. McAinsh, Nigel J. Burroughs |
| 2024 | Enhancing Peatland Classification using Sentinel-1 and Sentinel-2 Fusion with Encoder-Decoder Architecture. Luca Zelioli, Fahimeh Farahnakian, Farshad Farahnakian, Maarit Middleton, Jukka Heikkonen |
| 2024 | Enhancing Predicted Distributions for Constant Acceleration and Turn Rate Motion Models: A Deep Learning Approach. Ole Halvard Sætran, Sigmund Rolfsjord |
| 2024 | Enhancing Stock Trading Performance with Deep Q-Learning by Addressing Noisy Data through Advanced Denoising Techniques. Soroush Shahsafi, Farnoosh Naderkhani |
| 2024 | Ensemble Learning Approaches for Detecting Fishing Activity in Maritime Surveillance: A Performance Evaluation. Vinicius D. do Nascimento, Claudio M. de Farias, Diego L. C. Dutra, Tiago A. O. Alves |
| 2024 | Ensemble of KalmanNets for Maneuvering Target Tracking. Marco Mari, Lauro Snidaro |
| 2024 | Evaluation of Accuracy and Angle Dependency of 3D Pose Estimation through Stereo Camera Information Fusion with MediaPipe Pose. Sebastian Dill, Maurice Rohr, Gökhan Güney, Christoph Hoog Antink |
| 2024 | Event-based Multisensor Fusion with Correlated Estimates. Eva Julia Schmitt, Benjamin Noack |
| 2024 | Evidential Deep Learning For Sensor Fusion. Mihreteab Negash Geletu, Jean-Philippe Lauffenburger, Thomas Josso-Laurain, Maxime Devanne, Mengesha Mamo Wogari |
| 2024 | Extended Target Tracking with 3D-INSEG and its Benefits in Dense Scenarios. Nicolás Fierro, Martin Adams, Leonardo A. Cament |
| 2024 | Extended object tracking based on superellipses. Lin Gao, Giorgio Battistelli, Luigi Chisci |
| 2024 | Fault-tolerant Bayesian Decentralized Data Fusion Using Reliability Variables and Mixture Models. Changkyo Shin, Ofer Dagan, Nisar R. Ahmed, Han-Lim Choi |
| 2024 | FeU-Net: overcomplete representations with large kernels for edge detection. Federico Urli, Michele Somero, Lauro Snidaro, Chad Johnson, Tiziano Vallisa, Ingrid Visentini |
| 2024 | FedRS-Net: A Federated Learning Approach for Collaborative Multi-Modal Maritime Analytics. Bole Wilfried Tienin, Guolong Cui, Yannick Abel Talla Nana, Chiagoziem Chima Ukwuoma, Roldan Mba Esidang, Mohammed Raouf Senouci |
| 2024 | Filtering of High-Dimensional Data for Sequential Classification. Marzieh Ajirak, Yuhao Liu, Petar M. Djuric |
| 2024 | Forecasting events in multidimensional electroencephalographic brain data: Application to epileptic seizure prediction. Yueyang Liu, Artemio Soto-Breceda, Mark J. Cook, Philippa J. Karoly, David B. Grayden, Levin Kuhlmann, Dean R. Freestone, Daniel Schmidt |
| 2024 | Foreground Aware Correlation Filter with Adaptive Feature Response Fusion for Real-Time UAV Tracking. Zhuo Xiao, Yi Yang, Sixian Zhang, Wenbiao Li, Pengrong Bao, Deqiang Han |
| 2024 | Four-Legged Gait Control via the Fusion of Computer Vision and Reinforcement Learning. Ignacio Dassori, Martin Adams, Jorge Vásquez |
| 2024 | From tactical picture to situation assessment evaluation: A CUAS illustration. Anne-Laure Jousselme, Benjamin Pannetier |
| 2024 | Functional Observer-Based Event-Triggered Control for Linear Discrete-time Descriptor Systems. Jaffar Ali Lone, Shovan Bhaumik, Nutan Kumar Tomar |
| 2024 | Fused Tracking of Pulsed and Continuous Active Sonar Transmission Modes. Doug Grimmett |
| 2024 | FusedWSS: Water Surface Segmentation Fusing Machine Learning and Geometric Cues. Jon Torgeir Grini, Rudolf Mester, Trym Anthonsen Nygård, Nicholas Dalhaug, Edmund Førland Brekke, Annette Stahl |
| 2024 | Fusion of Individual and Population Graphs in a GNN Brain Disease Network. Chunyu Hao, Xiaoying Song, Fang Yang, Wanning Zheng, Yufeng Zhou |
| 2024 | Fusion of Physiological Signals for Modeling Driver Awareness Levels in Conditional Autonomous Vehicles using Semi-Supervised Learning. Raúl Fernandez-Matellan, David Puertas-Ramirez, David Martín Gómez, Jesus Boticario |
| 2024 | Fusion of Semantic Segmentation Models for Vehicle Perception Tasks. Danut-Vasile Giurgi, Jean Dezert, Thomas Josso-Laurain, Maxime Devanne, Jean-Philippe Lauffenburger |
| 2024 | Gaussian Mixture Based Progressive Chernoff Fusion. Simone Semeraro, Keith A. LeGrand |
| 2024 | Gaussian Mixture Particle Filter Step based on Method of Moments. Daniel Frisch, Uwe D. Hanebeck |
| 2024 | Gaussian Mixture-Based Point Mass Filtering. Felipe Giraldo-Grueso, Andrey A. Popov, Renato Zanetti |
| 2024 | Generalized Bernoulli Gauss von Mises Distribution for Uncertainty Realism on Saddle-Center Spaces. Ryne Beeson |
| 2024 | Genetic Algorithm-based Tunings for Baro-fused Inertial Navigation Systems. Vinícius M. G. B. Cavalcanti, Felipe O. Silva, Danilo Alves de Lima |
| 2024 | Genetic Algorithms for Distributed MIMO Radar Antenna Position Optimization. Salvatore Maresca, Antonio Malacarne, Malik Muhammad Haris Amir, Fawad Ahmad, Gaurav Pandey, Antonella Bogoni, Mirco Scaffardi |
| 2024 | HLIF2024: a Competition for High-Level Information Fusion. Claire Laudy, Nicolas Museux, Simon Fossier, Céline Reverdy, Tom Fougère, Amandine Audouy, Clara Lopez, Florent Chenevier |
| 2024 | Hyperspectral Super-Resolution Using Nonlinear Unmixing and Nonnegative Tensor Factorization. Qingke Zou, Jie Zhou |
| 2024 | Identification and Tracking of Multi-group Targets in Circular Formation under Multi-sensor Networks. Feng Yang, Jingru Niu, Lihong Shi, Litao Zheng |
| 2024 | Implementation of AKKF-based Multi-Sensor Fusion Methods in Stone Soup. James S. Wright, Mengwei Sun, Mike E. Davies, Ian K. Proudler, James R. Hopgood |
| 2024 | Implementation of Non-Gaussian Motion Models Within Stone Soup. Zhen Yuen Chong, Henry Pritchett, Qing Li, Runze Gan, Yaman Kindap, Simon J. Godsill |
| 2024 | Improved Fusion of AIS Data for Multiple Extended Object Tracking. Martin Baerveldt, Jiangtao Shuai, Edmund Førland Brekke |
| 2024 | Incorporating Heading Restrictions for Multilane-Road Target Tracking Using Radar Sensor. Yunlian Tian, Xi Cao, Wujun Li, Wei Yi |
| 2024 | Incorporating Navigation Context into Inland Vessel Trajectory Prediction: A Gaussian Mixture Model and Transformer Approach. Kathrin Donandt, Dirk Söffker |
| 2024 | Indoor Localization based on Short-Range Radar and Rotating Landmarks. Kolja Thormann, Simon Steuernagel, Marcus Baum |
| 2024 | Inference for Non-Gaussian Dynamical Models with Time-varying Skew. Zixin Liu, Zachary Tiller, Simon J. Godsill |
| 2024 | Inference-based time-resolved chaos analysis of brain models: application to focal epilepsy. Yun Zhao, David B. Grayden, Mario Boley, Yueyang Liu, Philippa J. Karoly, Mark J. Cook, Levin Kuhlmann |
| 2024 | Integrated Learning and Decision Making for Autonomous Agents through Energy based Bayesian Models. Abrham Shiferaw Alemaw, Pamela Zontone, Lucio Marcenaro, Pablo Marin, David Martín Gómez, Carlo S. Regazzoni |
| 2024 | Interpretable Data Fusion for Distributed Learning: A Representative Approach via Gradient Matching. Mengchen Fan, Baocheng Geng, Keren Li, Xueqian Wang, Pramod K. Varshney |
| 2024 | Investigating the effect of variable UAV altitude control on emitter localization. Marcel Kurz, Folker Hoffmann, André Brandenburger, Alexander Charlish |
| 2024 | Joint Beam Selection and Power Allocation for Multi-target Tracking in C-MIMO Radar Network. Hao Jiao, Peng Zhang, Junkun Yan, Xudong Dang, Bo Jiu, Hongwei Liu |
| 2024 | Joint Tracking and Classification of Vehicles with the PHD Filter and Gaussian Processes. Jiaye Yang, Yuhuan Xiong, Xi Cao, Cong Peng, Wei Yi |
| 2024 | Joint Vehicle Pose and Extent Estimation in the Context of Multi-Camera Traffic Surveillance. Leah Strand, Jens Honer, Alois Knoll |
| 2024 | KN-RUE: Key Nodes based Resampling Uncertainty Estimation. Xiang Li, Wen Jiang, Xinyang Deng, Jie Geng |
| 2024 | Kalman Filter State Transformation Application in INS/GNSS Integrated Navigation for Polar Navigation. Honggang Guo, Zhikun Liao, Zhonghong Liang, Pengcheng Mu, Jie Yuan, Lin Wang |
| 2024 | Kalman filtering aspects in camera and deep learning based tracking for traffic monitoring. Nils Kornfeld, Andreas Leich, Michael Roth |
| 2024 | KnFu: Effective Knowledge Fusion. S. Jamal Seyedmohammadi, Kawa Atapour, Jamshid Abouei, Arash Mohammadi |
| 2024 | LMMSE-Aided WLLS Location Estimators for Source Localization with RSS Measurements. Donglin Zhang, Zhansheng Duan, Yiyong Sun, Feng Yin |
| 2024 | Label Matching: It Is Complicated. Kuangyu Di, Tiancheng Li, Guchong Li, Yan Song, Xudong Dang |
| 2024 | Labeled Multi-Bernoulli Filter for Distributed multi-target Tracking with Detection and Class Measurements. James Klupacs, Amirali K. Gostar, Alireza Bab-Hadiashar, Reza Hoseinnezhad |
| 2024 | Land-Sea Clutter Classification for Over-the-Horizon Radar via Dual Attention Aided Residual Neural Networks. Can Li, Quan Pan, Zuowei Zhang, Zhunga Liu, Xianglong Bai, Kunpeng Pan |
| 2024 | Learning 3D LiDAR Perception Models for Self-Aware Autonomous Systems. Saleemullah Memon, Ali Krayani, Pamela Zontone, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni |
| 2024 | Learning to Approximate Particle Smoothing Trajectories via Diffusion Generative Models. Ella Tamir, Arno Solin |
| 2024 | Learning-Based BBA Modeling Approach with Multi-Method Fusion. Siyuan Li, Deqiang Han, Jean Dezert, Yi Yang |
| 2024 | Leveraging Generative Deep Learning Models for Enhanced Change Detection in Heterogeneous Remote Sensing Data. Moslem Ouled Sghaier, Melita Hadzagic, Jun Ye Yu, Sofia Shton, Elisa Shahbazian |
| 2024 | Leveraging LLMs for Knowledge Engineering from Technical Manuals: A Case Study in the Medical Prosthesis Manufacturing Domain. Francesca Incitti, Andrea Salfinger, Lauro Snidaro, Sri Challapalli |
| 2024 | LiDAR Point Cloud-Based Multiple Vehicle Tracking with Probabilistic Measurement-Region Association. Guanhua Ding, Jianan Liu, Yuxuan Xia, Tao Huang, Bing Zhu, Jinping Sun |
| 2024 | LiDAR-Aided Cooperative Localization and Environmental Perception for CAVs. Akif Adas, Luca Barbieri, Satyesh Awasthi, Pietro Morri, Simone Mentasti, Stefano Arrigoni, Edoardo Sabbioni, Monica Nicoli |
| 2024 | MARITRAC: Maritime trajectory classification using object instance segmentation with model-based generated data augmentation. Enrica d'Afflisio, Leonardo Maria Millefiori, Paolo Braca, Marco Guerriero |
| 2024 | MCL4SRec: A Sequential Recommendation Model with Multi-level Contrastive Learning. Zhuohan Hu, Bo Yang, Jialiang Lin, Jiajin Wu, Wei Liu |
| 2024 | MIMO Multipath-based SLAM for Non-Ideal Reflective Surfaces. Lukas Wielandner, Alexander Venus, Thomas Wilding, Klaus Witrisal, Erik Leitinger |
| 2024 | ML Classifier Fusion for Three Data Streams with Quality Inversely Proportional to Time Resolution. Nageswara S. V. Rao, Chris Y. T. Ma, Fei He |
| 2024 | Machine Learning Models for Improved Tracking from Range-Doppler Map Images. Elizabeth Hou, Ross Greenwood, Piyush Kumar |
| 2024 | Magnetic Field Mapping of Railway Lines with Graph SLAM. Benjamin Siebler, Andreas Lehner, Stephan Sand, Uwe D. Hanebeck |
| 2024 | Making METOC data portable with video codecs. Daan Gommers, Dennis Strik, Vincent van Leijen |
| 2024 | Maritime Tracking-By-Detection with Object Mask Depth Retrieval Through Stereo Vision and Lidar. Henrik Hilmarsen, Nicholas Dalhaug, Trym Anthonsen Nygård, Edmund Førland Brekke, Rudolf Mester, Annette Stahl |
| 2024 | Maximum Likelihood Identification of an Ornstein-Uhlenbeck Model and Its CRLB. Shida Ye, Yaakov Bar-Shalom, Peter Willett, Ahmed Zaki |
| 2024 | Moving target's detection performances in a sequence of infrared multispectral images. Christian Musso, Sidonie Lefebvre, Sophie Thetas |
| 2024 | Multi-layer GNSS and LEO-PNT Positioning: Integrity under Constellations' Correlation. Jindrich Duník, Ivo Puncochár, Ladislav Král, Ondrej Straka, Ondrej Daniel, Fabricio dos Santos Prol, Muwahida Liaquat, Mohammad Zahidul Hasan Bhuiyan |
| 2024 | Multi-target tracking within large geographical areas - algorithms for improved accuracy and speed. Brita H. Hafskjold Gade, Carina N. Vooren, Alexander Meyer Sjøberg, Morten Kloster |
| 2024 | Multi-vector Matching Deformation Measurement Method. Zhaoqiang Gao, Jiazhou He, Heng Zhang |
| 2024 | Multimodal Coordinated Representation Learning Based on Evidence Theory. Wei Li, Deqiang Han, Jean Dezert, Yi Yang |
| 2024 | Multimodal Odometry Estimation With Automated Sensor Selection. Martin Michaelis, Philipp Berthold, Thorsten Luettel, Mirko Mählisch |
| 2024 | Multiobject Tracking for Thresholded Cell Measurements. Thomas Kropfreiter, Jason L. Williams, Florian Meyer |
| 2024 | Multiple Extended Object Tracking Using PMHT with Extension-Dependent Measurement Numbers. Yuan Wei, Jian Lan, Le Zhang |
| 2024 | Multisensor Estimation Fusion Based on Kernel Mean Embedding. Mingjie Luo, Jie Zhou, Qingke Zou |
| 2024 | NCL-DASB: GEO-Located Maritime Surveillance Labeled Dataset and Annotation API. Leiyu Xie, Federico Angelini, Syed Mohsen Naqvi |
| 2024 | Neuro-Symbolic Fusion of Wi-Fi Sensing Data for Passive Radar with Inter-Modal Knowledge Transfer. Marco Cominelli, Francesco Gringoli, Lance M. Kaplan, Mani B. Srivastava, Trevor Bihl, Erik Philip Blasch, Nandini Iyer, Federico Cerutti |
| 2024 | Non-Linear Bias Mitigation in Multi-Sensor Multi-Track Fusion. Shaun J. Hoyt, William Dale Blair, Aaron D. Lanterman |
| 2024 | On Network Quickest Change Detection with Uncertain Models: An Experimental Study. James Zachary Hare, Yuchen Liang, Lance M. Kaplan, Venugopal V. Veeravalli |
| 2024 | On Optimal Solution of the Compromise Ranking Problem. Jean Dezert, Andrii Shekhovtsov, Wojciech Salabun, Albena Tchamova |
| 2024 | On Subjective Logic Trust Discount for Referral Paths. Koffi Ismael Ouattara, Ana Petrovska, Artur Hermann, Natasa Trkulja, Theo Dimitrakos, Frank Kargl |
| 2024 | On Time-Delay Estimation Accuracy Limit Under Phase Uncertainty. Joan M. Bernabeu Frias, Lorenzo Ortega, Antoine Blais, Yoan Gregoire, Eric Chaumette |
| 2024 | On fusion of probability density functions using tensor train decomposition. Jirí Ajgl, Ondrej Straka |
| 2024 | On the Estimation of the Size of a Target Population. Nicolas Valeyrie, Jérémie Houssineau, Christopher Strode, Yan Pailhas |
| 2024 | On the Gaussian Filtering for Nonlinear Dynamic Systems Using Variational Inference. Yi Liu, Xi Li, Le Yang, Lyudmila Mihaylova, Ji Li |
| 2024 | On the Robustness and Reliability of Late Multi-Modal Fusion using Probabilistic Circuits. Sahil Sidheekh, Pranuthi Tenali, Saurabh Mathur, Erik Blasch, Sriraam Natarajan |
| 2024 | On the feasibility of localization using DVB-T signals and combining TDOA and TWR measurements. Anja Hellander, Gustaf Hendeby |
| 2024 | Online Learning of Model Parameters and Object Classes in Extended Multiobject Tracking. Thomas John Bucco, Günther Koliander, Bernd Kreid, Franz Hlawatsch |
| 2024 | Optical Flow for Drone Horizontal Velocity Estimation without GPS. Djedjiga Belfadel, David Haessig |
| 2024 | Optimizing Cardinality-aware Combination Rules in Belief Functions Theory: an Enhanced Framework. Faouzi Sebbak, Mustapha Réda Senouci |
| 2024 | Optimizing Sensor Placement in Urban Environments for Time Difference of Arrival Shooter Localization and Event Classification. David-Octavian Iacob, Philipp Mikus, Matthias Ospel, Luisa Still, Cyril Blonde-Weinmann, Marc Oispuu |
| 2024 | Optimizing Wireless Sensor Network Planning: Integrating Biased Random-Key Genetic Algorithm and Local Branching for Scalable Solutions. Almir Antônio Monteiro Junior, Diego N. Brandão, Felipe da Rocha Henriques, Claudio M. de Farias, Pedro Henrique González Silva |
| 2024 | Partial-Distributed Filtering for Fault Detection, Isolation and Accommodation in Natural-Gas Pipelines. Khadija Shaheen, Apoorva Chawla, Ferdinand Evert Uilhoorn, Pierluigi Salvo Rossi |
| 2024 | Particle Flow with a Continuous Formulation of the Nonlinear Measurement Update. Kristen Michaelson, Andrey A. Popov, Renato Zanetti, Kyle J. DeMars |
| 2024 | Particle Flows for Source Localization in 3-D Using TDOA Measurements. Wenyu Zhang, Mohammad Javad Khojasteh, Florian Meyer |
| 2024 | Passive Localization Method of LFM Signal Transmitter based on Multi-channel Joint Accumulation in FrFT Domain. Jiangyun Deng, Zhi Sun, Haixu Chen, Xiaolong Li, Guolong Cui, Xiaobo Yang |
| 2024 | Passive Sonar Ranging and Range-Doppler-Bearing Target Motion Analysis. Rémi Carloni Gertosio, Gilles Gaonach, Enzo Beyna, Liana Martin, Alexis Meyrat |
| 2024 | Pedestrian Tracking with Monocular Camera using Unconstrained 3D Motion Model. Jan Krejcí, Oliver Kost, Ondrej Straka, Jindrich Duník |
| 2024 | Physical Reservoir Computing for Interactive Estimation of Weight from Food Texture in 3D-Printed Soft Matter in Picking Operations. Rikuto Kawakami, Moe Kakegawa, Gianluca Inagawa, Yorito Igeta, Yuto Suzuki, Jun Ogawa, Hidemitsu Furukawa |
| 2024 | Poisson Multi-Bernoulli Mixture Filtering with Multistatic Passive Bistatic Radar. Viktor Deleskog, Oskar Jonsson, Jonas Nygårds, Gustaf Hendeby |
| 2024 | Polynomial Chaos Expansion Based Rauch-Tung-Striebel Smoothers. Kundan Kumar, Simo Särkkä |
| 2024 | Probabilistic Global Robustness Verification of Arbitrary Supervised Machine Learning Models. Max-Lion Schumacher, Marco F. Huber |
| 2024 | Projected Feedback Particle Filtering for Chaotic Dynamical Systems Using Lyapunov Vectors. Yujing Zhou, Ryne Beeson |
| 2024 | Propagation of Uncertainty with the Koopman Operator. Simone Servadio, Giovanni Lavezzi, Christian Hofmann, Di Wu, Richard Linares |
| 2024 | QCaption: Video Captioning and Q&A through Fusion of Large Multimodal Models. Jiale Wang, Gee Wah Ng, Lee Onn Mak, Randall Cher, Ng Ding Hei Ryan, Davis Wang |
| 2024 | RNN-UKF: Enhancing Hyperparameter Auto-Tuning in Unscented Kalman Filters through Recurrent Neural Networks. Zhengyang Fan, Dan Shen, Yajie Bao, Khanh Pham, Erik Blasch, Genshe Chen |
| 2024 | Radar Data Clustering and Bounding Box Estimation with Doppler Measurements. J. Zeng, Prabhanjan Mannari, Aalok Acharya, Ratnasingham Tharmarasa |
| 2024 | Random Matrix-based Tracking of Rectangular Extended Objects with Contour Measurements. Simon Steuernagel, Kolja Thormann, Marcus Baum |
| 2024 | Re-entry Target Identification with RCS Measurements Considering Multi-radar Geometry. Sung-Joo Lee, Boyoung Jung, Seung-Jin Park, Won-Sang Ra |
| 2024 | Regime Learning for Differentiable Particle Filters. John-Joseph Brady, Yuhui Luo, Wenwu Wang, Víctor Elvira, Yunpeng Li |
| 2024 | Regression Model Bias Evaluation by Estimating Conditional Densities with Gaussian Mixtures. Wei Sun, Xuning Tang, Kuo-Chu Chang |
| 2024 | Regularization-Based Efficient Continual Learning in Deep State-Space Models. Yuanhang Zhang, Zhidi Lin, Yiyong Sun, Feng Yin, Carsten Fritsche |
| 2024 | Reproducible Mapping of Tabular Data into Semantic Knowledge Graphs with OntoWeaver and BioCypher. Johann Dréo, Claire Laudy, Sebastian Lobentanzer, Marko Baric, Ekaterina Gaydukova, Benno Schwikowski |
| 2024 | Robust Near-field Beam Tracking via Deep Q-network for THz Communications. Hyunwoo Park, Hyeonjin Chung, Andrea Conti, Moe Z. Win, Sunwoo Kim |
| 2024 | Robust Position Estimation using Range Measurements from Transmitters with Inaccurate Positions. Artun Sel, Samer Watchi Hayek, Zaher M. Kassas |
| 2024 | Robust Primal-Dual Proximal Algorithm for Cooperative Localization in WSNs. Mei Zhang, Xiaojing Shen, Zhiguo Wang, Pramod K. Varshney |
| 2024 | Runtime Optimization in Interacting Multiple Model Filtering with Down-Sampling and Out-of-Sequence Measurements. Pascal Ketterer, Patrick Hoher, Johannes Reuter |
| 2024 | SSP-GNN: Learning to Track via Bilevel Optimization. Griffin Golias, Masa Nakura-Fan, Vitaly Ablavsky |
| 2024 | Scaling Sparse Approximation with a Two-Layer Spiking Locally Competitive Algorithm. Albert Ting, Samuel A. Shapero |
| 2024 | Secure Counterfactual Explanations in a Two-party Setting. M. Molhoek, J. Van Laanen |
| 2024 | Seismic Detection of Elephant Footsteps. Daniel Goderik, Albin Westlund, Gustav Zetterqvist, Fredrik Gustafsson, Gustaf Hendeby |
| 2024 | Self-Monitored Clutter Rate Estimation for the Labeled Multi-Bernoulli Filter. Alexander Scheible, Thomas Griebel, Michael Buchholz |
| 2024 | Self-Organized Sensor Eggs for Decentralized Localization and Sensing on Vulcano Island - A Glimpse into Future Space Exploration with Swarms. Fabio Broghammer, Thomas Wiedemann, Siwei Zhang, Armin Dammann, Christian Gentner, Petar M. Djuric |
| 2024 | Sensor Fusion of 2D-LiDAR and 360-Degree Camera Data for Room Layout Reconstruction. Fynn Pieper |
| 2024 | Sequential Hypothesis Testing Based on Machine Learning. Ryan Harvey, Paolo Braca, Leonardo Maria Millefiori, Peter Willett |
| 2024 | Sequential Markov Chain Monte Carlo methods on Matrix Lie Groups. Enzo Lopez, Karim Dahia, Nicolas Merlinge, Bénédicte Winter-Bonnet, Alain Maschiella, Christian Musso |
| 2024 | Set-Valued Modeling for Drop-Point Constrained Dynamic Systems. Xiaowei Yang, Haiqi Liu, Hua Zhao, Fanqin Meng, Xiaojing Shen |
| 2024 | Simplified Distributed Tracking. Stefano Coraluppi, Noah Jenkins, Michael Lexa |
| 2024 | Situational Assessment using Indicator Kriging for Fleet Tracking and Prediction. Esther Jose, Rajan Batta, Moises Sudit |
| 2024 | Sonar Path Planning Using Reinforcement Learning. Joshua J. Wakefield, Adam Neal, Stewart Haslinger, Jason F. Ralph |
| 2024 | Source Localization Using TDOA with Sensor Position Errors Based on Constrained Total Least Squares and ADMM. Wen Ma, Hongyan Zhu |
| 2024 | Spatial-Temporal Attention Network for Track-Track Association with Biased Data. Haowei Jia, Gan Wang, Huajun Liu |
| 2024 | Spline-Based Density Estimation Minimizing Fisher Information. Dominik Prossel, Uwe D. Hanebeck |
| 2024 | Split Covariance Intersection with Correlated Components for Distributed Estimation. Colin Cros, Pierre-Olivier Amblard, Christophe Prieur, Jean-François Da Rocha |
| 2024 | Stacked iterated posterior linearization filter. Matti Raitoharju, Ángel F. García-Fernández, Simo Ali-Löytty, Simo Särkkä |
| 2024 | Stochastic Integration Based Estimator: Robust Design and Stone Soup Implementation. Jindrich Duník, Jakub Matousek, Ondrej Straka, Erik Blasch, John Hiles, Ruixin Niu |
| 2024 | TDOA based ADS-B validation using a Particle Filter and Statistical Hypothesis testing. Tom Landzaat, Hans Driessen, Hans Van Hintum |
| 2024 | TT-BLIP: Enhancing Fake News Detection Using BLIP and Tri-Transformer. Eunjee Choi, Jong-Kook Kim |
| 2024 | Taking Advantage of Road Users Occluding the Road: Supporting Camera-based Road Tracking in Shared Spaces using Radar Doppler Measurements. Bianca Forkel, Philipp Berthold, Mirko Mählisch |
| 2024 | TeamCollab: A Framework for Collaborative Perception-Cognition-Communication-Action. Julian de Gortari Briseno, Roko Parac, Leo Ardon, Marc Roig Vilamala, Daniel Furelos-Blanco, Lance M. Kaplan, Vinod K. Mishra, Federico Cerutti, Alun D. Preece, Alessandra Russo, Mani Srivastava |
| 2024 | Tensor Decomposition based Bearing-Only Target Tracking - an Analysis based on Real Data. Joshua Gehlen, Martin Ulmke, Jannik Springer, Felix Govaers, Wolfgang Koch |
| 2024 | Text-based Voice Codec Algorithm for Tactical Radio Networks in Disconnected, Intermittent, Limited Environment. Jongdeog Lee, Jongkwan Lee |
| 2024 | Towards Accurate Ego-lane Identification with Early Time Series Classification. Yuchuan Jin, Theodor Stenhammar, David Bejmer, Axel Beauvisage, Yuxuan Xia, Junsheng Fu |
| 2024 | Towards End-to-End GPS Localization with Neural Pseudorange Correction. Xu Weng, Keck Voon Ling, Haochen Liu, Kun Cao |
| 2024 | Towards an Efficient Simulation-Based Anytime Inference in Subjective Bayesian Networks. Han Jun Yoon, Shou Matsumoto, Paulo C. G. Costa, Jin-Hee Cho |
| 2024 | Towards broader spatial-context 3D object detection for autonomous driving. Álvaro Ramajo Ballester, Arturo de la Escalera Hueso, José María Armingol Moreno |
| 2024 | Track Evaluation of GSM based Passive Radar: Model vs. Real-World Results. Sebastian Thomas Handke, Martina Broetje, Christian Steffes, Wolfgang Koch |
| 2024 | Track-Before-Detect for Airborne Maritime Radar: Application to Real Data. Branko Ristic, Du Yong Kim, Luke Rosenberg |
| 2024 | Track-Before-Detect for Automotive Multi-Radar Systems with Time-Varying Fields of View. Qing Miao, Zhiyuan Zou, Wujun Li, Wei Yi |
| 2024 | Track-to-track Association based on Deterministic Sampling using Herding. Laura M. Wolf, Marcus Baum |
| 2024 | Tracking Arbitrarily Shaped Extended Objects Using Gaussian Processes. Murat Kumru, Emre Özkan |
| 2024 | Tracking Extended Objects with Basic Parametric Shapes using Deformable Superellipses. Tim Baur, Patrick Hoher, Johannes Reuter, Uwe D. Hanebeck |
| 2024 | Tracking of Few-Pixel UAVs in Event Data. Jonatan Adolfsson, Hanna Hamrell, David Gustafsson |
| 2024 | Train Localization During GNSS Outages: A Minimalist Approach Using Track Geometry And IMU Sensor Data. Wendi Löffler, Mats Bengtsson |
| 2024 | Trajectory Generation and Dynamic Continuous Activity Recognition for Radar Swarm Targets. Zhiyuan Zou, Qing Miao, Jianwei Wei, Yiru Lin, Xinwei Wei, Wei Yi |
| 2024 | Trajectory PHD Filter for Extended Traffic Target Tracking with Interaction and Constraint. Xi Cao, Yunlian Tian, Jiaye Yang, Wujun Li, Wei Yi |
| 2024 | Trajectory Poisson Multi-Bernoulli Filter for Group Target Tracking. Qinchen Wu, Jinping Sun, Bin Yang |
| 2024 | Transformer-based Multi-Sensor Hybrid Fusion for Multi-Target Tracking. Xinwei Wei, Linao Zhang, Yiru Lin, Jianwei Wei, Chenyu Zhang, Wei Yi |
| 2024 | Transformer-based Multi-Target Tracking with Bayesian Perspective. Xinwei Wei, Yiru Lin, Linao Zhang, Zhiyuan Zou, Jianwei Wei, Wei Yi |
| 2024 | Trustworthy Bayesian Perceptrons. Markus Walker, Hayk Amirkhanian, Marco F. Huber, Uwe D. Hanebeck |
| 2024 | Unscented Kalman Filter using Optimal Quantization. Vivien Pravong, Jean-Philippe Condomines, Gustav Öman Lundin, Stéphane Puechmorel |
| 2024 | Utilizing 1D FMCW Radar Data for Distance Estimation to Port Infrastructure. Mirjam Bogner, Fynn Pieper, Christian Steger, Matthias Steidel, Janusz A. Piotrowski, Sebastian Feuerstack |
| 2024 | Visual-Inertial Odometry Using Optical Flow from Deep Learning. Jeong Min Kang, Zoran Sjanic, Gustaf Hendeby |
| 2024 | What are You Weighting For? Improved Weights for Gaussian Mixture Filtering. Dalton Durant, Andrey A. Popov, Renato Zanetti |
| 2024 | What to Do with Biased Measurements? Annie-Claude Perez, Claude Jauffret |
| 2024 | Zonotopic and Gaussian Information Filter for High Integrity Localization. Mohammed Salhi, Joelle Al Hage |
| 2024 | mmWave Radar and Image Fusion for Depth Completion: a Two-Stage Fusion Network. Tieshuai Song, Bin Yang, Jun Wang, Guidong He, Zhao Dong, Fengjun Zhong |