Multimodal Trajectory Prediction

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5 papers in the last four weeks, up 67% on the four weeks before. 0.0% of all new papers.

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Context-aware Attention-based Gaussian Mixture Models for Vehicular Trajectory Prediction
Oct 6, 2026Arash Raftari, Babak Ebrahimi Soorchaei, Yaser P. FallahMultimodal Trajectory Prediction Vehicle Trajectory Prediction
Department of Electrical and Computer Engineering, University of Central Florida, Orlando, Florida, USA · Department of Computer Science, University of Central Florida, Orlando, Florida, USA
MoCAR: Motion-code Coordinate-aware AutoRegression for Continuous Trajectory Forecasting
Oct 5, 2026Yiming Xu, Hao Cheng, Monika SesterTrajectory Generation Trajectory Representation Learning
Institute of Cartography and Geoinformatics Leibniz University Hannover, 30167 Hannover, Germany · Faculty of Geo-Information Science and Earth Observation University of Twente, 7522 NH Enschede, The Netherlands
Conditional Trajectory Peaks: Single-Pass Multimodal Policies over Action Chunks
Oct 5, 2026Di Wu, Rongtian Shen, Ping Liu +4Efficient Multimodal Inference Robot Policy Learning
Magiclab Robotics Technology Co., Ltd., China · Southeast University, Nanjing, China
Efficient Multi-Modal Planning with Reward-Guided Preference Optimization for Autonomous Driving
Sep 30, 2026Chenglin Chen, Lujia Wang, Xinhu Zheng +2Safe Motion Planning Autonomous Driving Planning
Admissible Diffusion for Multimodal Interventional Trajectories
Sep 28, 2026Xing Han, Shravan Chaudhari, Jiarui Shao +2Constrained Generative Modeling Causal Inference
Johns Hopkins University · Massachusetts Institute of Technology · Bayesian Health
Destination Support Restoration for Finite-Set Multimodal Trajectory Prediction
Sep 22, 2026Fengrui Liu, Jiajun Peng, Duo Peng +1Pedestrian Trajectory Prediction Multimodal Trajectory Prediction
School of Computer Science and Technology, East China Normal University, Shanghai, China · School of Data Science, University of Science and Technology of China, Hefei, China · School of Computer Science and Technology, Tongji University, Shanghai, China +1
MM-Future: Multi-Mode Joint World-Action Modeling for Autonomous Driving
Sep 17, 2026Shuai Liu, Hechangle Gong, Hao Jiang +5World Models for Autonomous Driving Autonomous Driving Planning
NIO · School of Computer Science and Engineering, Sun Yat-sen University · Beihang University +1
M3-Former: Multimodal Transformer with Mixture-of-Experts for Long-Term Vessel Trajectory Prediction
Sep 11, 2026Wenzhe Jin, Haina TangMixture of Experts Vessel Trajectory Prediction
School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
Non-Parametric Spatiotemporal Trajectory Prediction via State-Conditioned Transition Sampling
Aug 14, 2026Michael Fore, Akshay Jain, Justin Downes +2Trajectory Generation Vessel Trajectory Prediction
Amazon Web Services
Clustered Randomized Smoothing for Stochastic Prediction Functions
Aug 12, 2026Eduardo Figueiredo, Frederik Mathiesen, Julian Schumann +3Multimodal Robustness Randomized Smoothing
Delft Center for Systems and Control, Delft University of Technology · Cognitive Robotics, Delft University of Technology · University of Stuttgart +1
Capturing Uncertainty in Human Motion for Representation Learning in Soccer
Aug 11, 2026Yizhou Xu, Lars Bretzner, Tiesheng Wang +1Self-Supervised Time Series Representation Learning Sports Video Analysis
KTH Royal Institute of Technology · EA Sports TRACAB
NaviAIS: A Scenario-Level Vessel Trajectory Prediction Dataset withVectorized Lane Priors and the NaviLane Forecasting Framework
Jul 21, 2026Yuan Gui, Hongchen Luo, Liqi Qu +2Vessel Trajectory Prediction Multimodal Trajectory Prediction
Northeastern University, Shenyang 110819, China
TSCA-Net: Temporal-Spatial Clique Attention for Interpretable Multimodal Pedestrian Trajectory Prediction
Jul 11, 2026Md Mustafizur Rahman, Guangchao Yang, A F M Abdun Noor +3Pedestrian Behavior Modeling Pedestrian Trajectory Prediction
College of Computer Science, Chongqing University, Chongqing, China · Department of Software Engineering, Daffodil International University, Dhaka, Bangladesh
IMR: Iterative Mode-World Weighted Regression for Multi-Agent Trajectory Prediction
Jul 6, 2026Honglin Wang, Shiyao Pan, Yun-Fu LiuMulti-Agent Trajectory Prediction Multimodal Trajectory Prediction
EACON Fujian, China
LAMP: Lane-Aligned Motion Primitives for Feasible Trajectory Prediction
Jun 25, 2026Sangjin Han, Hoseong Jung, Jeongtae Her +2Multimodal Trajectory Prediction Trajectory Prediction
Seoul National University · Hyundai Motor Company, Republic of Korea
Rethinking Training & Inference for Forecasting: Linking Winner-Take-All back to GMMs
Jun 24, 2026Qiyuan Wu, Katie Z Luo, Bharath Hariharan +2Gaussian Mixture Models Probabilistic Forecasting
Cornell University · Stanford University · Boston University
AeroCast: Probabilistic 3D Trajectory Prediction for Non-Cooperative Aerial Obstacles via Transformer-MDN Architecture
Jun 23, 2026Syed Izzat Ullah, Jose BacaAerial Robotics Multimodal Trajectory Prediction
Department of Engineering, Texas A&M University–Corpus Christi, Corpus Christi, TX 78412 USA
Three-Step Hierarchical Transformer for Multi-Pedestrian Trajectory Prediction
Jun 22, 2026Raphaël Delécluse, Hazem Wannous, Laurent Grisoni +1Pedestrian Behavior Modeling Pedestrian Trajectory Prediction
IMT Nord Europe, University of Lille, CNRS UMR 9189 - CRIStAL, F-59000 Lille, France · University of Lille, CNRS UMR 9189 - CRIStAL, F-59000 Lille, France · Explain, F-59000 Lille, France
Where Will They Go? Modelling Multimodal Pedestrian Manoeuvres from Ego-centric Videos
Jun 17, 2026Yuxuan Xie, Nicolas Pugeault, Chongfeng Wei +2Pedestrian Intention Prediction Pedestrian Behavior Modeling
School of Computing Science, University of Glasgow, Glasgow, United Kingdom · James Watt School of Engineering, University of Glasgow, Glasgow, United Kingdom · Department of Computer Science, Durham University, Durham, United Kingdom
ExoTraj: A General Lower-limb Exoskeleton Assistance Policy for Complex Environments
Jun 15, 2026Xiao-Yin Liu, Guotao Li, Long Sun +2Assistive Robotics Human Motion Prediction
The State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, China · The School of Artificial Intelligence, University of Chinese Academy of Sciences, China · The School of Automation and Intelligence, Beijing Jiaotong University, China +1
Driving, Fast or Slow? Neuro-Symbolic Guidance for Motion Prediction in Multi-Modal Ground Mobility
Jun 13, 2026Simon Kohaut, Felix Divo, Julius Hahnewald +4Multi-Agent Trajectory Prediction Autonomous Driving
Artificial Intelligence and Machine Learning Lab, TU Darmstadt · Honda Research Institute · Hessian Center for AI (hessian.AI) +3
Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation
May 31, 2026Zijia Chen, Yuenan Hou, Xinhua Jiang +3Robot Policy Learning Mixture of Experts
College of Electronic Science and Technology, National University of Defense Technology Changsha, 410073, China · Shanghai AI Laboratory Shanghai, 200000, China
MUSCLE-NET: Predicted-Multiscale-Aware Network for Pedestrian Trajectory Forecasting
May 30, 2026Yu Liu, Ming Huang, Xiao Ren +3Pedestrian Behavior Modeling Pedestrian Trajectory Prediction
Guangdong Provincial Key Laboratory of Fully Actuated System Control Theory and Technology, School of Automation and Intelligent Manufacturing, Southern University of Science and Technology (SUSTech), Shenzhen 518055, China · Department of Mechanical Engineering, City University of Hong Kong, Hong Kong SAR, China
CmIVTP: Cross-modal Interaction-based Vessel Trajectory Prediction for Maritime Intelligence
May 26, 2026Yuxu Lu, Dong Yang, Xiaoyu Li +2Intelligent Transportation Systems Vessel Trajectory Prediction
Department of Logistics and Maritime Studies, the Hong Kong Polytechnic University, Hong Kong 999077 · Department of Logistics and Maritime Studies and the Research Centre for ESG Advancement (RCESGA), the Hong Kong Polytechnic University, Hong Kong 999077 · Department of Logistics and Maritime Studies, the Hong Kong Polytechnic University, Hong Kong 999077, and also with the School of Navigation, Wuhan University of Technology, Wuhan 430063
Mode-as-Sequence: Translating Multimodal Motion Prediction into Unified Sequential Mode Modeling
May 21, 2026Zikang Zhou, Haibo Hu, Xinhong Chen +5Probability Calibration Autonomous Driving
City University of Hong Kong · City University of Hong Kong (Dongguan) · Hon Hai Research Institute +1
Diverse Yet Consistent: Context-Guided Diffusion with Energy-Based Joint Refinement for Multi-Agent Motion Prediction
May 21, 2026Lei Chu, Yuhuan ZhaoMulti-Agent Trajectory Prediction Human Motion Generation
University of Southern California, Los Angeles, CA, USA
EgoTraj: Real-World Egocentric Human Trajectory Dataset for Multimodal Prediction
May 18, 2026Ahmad Yehia, Abduallah Mohamed, Tianyi Wang +4Trajectory Inference Egocentric Vision
Department of Civil, Architectural, and Environmental Engineering, The University of Texas at Austin, Austin, TX 78712, USA · Meta Reality Labs · Department of Civil, Architectural,and Environmental Engineering, The University of Texas at Austin, Austin, TX 78712, USA +1
On Improving Multimodal Pedestrian Trajectory Prediction with CVAE: A Study on Benchmark and Robot Data
May 18, 2026Yuzhou Liu, Cristina Olaverri-MonrealPedestrian Behavior Modeling Pedestrian Trajectory Prediction
Dept. Intelligent Transport Systems, Johannes Kepler University Linz, Altenberger Straße 69, 4040 Linz, Austria.
Recall to Predict: Grounding Motion Forecasting in Interpretable Motion Bank
May 2, 2026Abhishek Vivekanandan, Ahmed Abouelazm, J. Marius ZöllnerMulti-Agent Trajectory Prediction Multimodal Trajectory Prediction
FZI Forschungszentrum Informatik · Karlsruhe Institute of Technology (KIT) Karlsruhe, Germany
FlowS: One-Step Motion Prediction via Local Transport Conditioning
Apr 28, 2026Leandro Di Bella, Adrian Munteanu, Bruno CornelisFlow Matching Trajectory Generation
Department of Electronics and Informatics, Vrije Universiteit Brussel, Pleinlaan 2, B-1050 Brussels, Belgium · IMEC, Kapeldreef 75, B-3001 Leuven, Belgium

Oct 6, 2026, cs.LGJ/K move · Enter open · S save

Context-aware Attention-based Gaussian Mixture Models for Vehicular Trajectory Prediction

Arash Raftari, Babak Ebrahimi Soorchaei, Yaser P. Fallah

Department of Electrical and Computer Engineering, University of Central Florida, Orlando, Florida, USA · Department of Computer Science, University of Central Florida, Orlando, Florida, USA

Multimodal Trajectory Prediction Vehicle Trajectory Prediction Multi-Agent Trajectory Prediction Gaussian Mixture Models

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Reliable and interpretable trajectory prediction is critical for cooperative and autonomous driving in complex and uncertain environments. This paper introduces a Context-Aware Attention-based Gaussian Mixture Model (CAA-GMM) for multimodal, uncertainty-aware motion forecasting. The proposed approach models future motion as a probabilistic mixture conditioned on both scene context and agent dynamics, capturing diverse behavioral modes with interpretable Gaussian components. A lightweight attention mechanism adaptively encodes inter-agent interactions and contextual salience, enabling efficient fusion of rasterized environment cues and motion history in dense traffic scenes. Comprehensive evaluations on the nuScenes and Argoverse 2 datasets demonstrate that CAA-GMM achieves competitive or superior accuracy compared with state-of-the-art raster-based baselines, while maintaining low computational complexity. Ablation analyses confirm the importance of the attention module for robust contextual reasoning and predictive precision. Furthermore, evaluations under imperfect communication and perception conditions highlight the framework's resilience to uncertainty, establishing CAA-GMM as an efficient and scalable solution for cooperative trajectory prediction in intelligent transportation systems.

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