Vehicle Trajectory Prediction

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5 papers in the last four weeks, against 1 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
Markovian Dynamics Enforcer: Feasibility Preserving Correction on Learned Dynamics Manifolds
Sep 30, 2026Kevin Yu, Tao Guo, Constantinos Antoniou +1Trajectory Prediction Vehicle Trajectory Prediction
Imperial College London, UK · Technical University of Munich, Germany
Data-Efficient Adaptation of a Driving VLA to Class 8 Trucks
Sep 29, 2026Satyajeet Das, Aaron Buxbaum, Niels Joubert +1Autonomous Driving Vision-Language-Action Models
Department of Computer Science, University of Southern California, Los Angeles, CA 90089, USA · Stack AV, Pittsburgh, PA, USA
Vehicle Trajectory Prediction via Neural Fusion of Multiple EKF-Based Trajectory Candidates
Sep 17, 2026Seong-Jun Kim, Seung-Hyun KongTrajectory Prediction Vehicle Trajectory Prediction
CCS Graduate School of Mobility, Korea Advanced Institute of Science and Technology (KAIST)
Kernel-Based Metrics Learning for Uncertain Opponent Vehicle Trajectory Prediction in Autonomous Racing
Sep 15, 2026Hojin Lee, Youngim Nam, Sanghun Lee +1Multi-Agent Trajectory Prediction Autonomous Racing
Department of Mechanical Engineering, Ulsan National Institute of Science and Technology, Ulsan, 44919, Republic of Korea
MC-DeTra: Motion-Consistent Joint Object Detection and Socially-Aware Trajectory Forecasting in Bird's-Eye-View Images
Sep 11, 2026Vladislav Diuzhev, Dmitry YudinMulti-Agent Trajectory Prediction Autonomous Driving
Moscow Institute of Physics and Technology, Moscow, Russia · Artificial Intelligence Research Institute, Moscow, Russia
Pre-Lane-change Signal in Transitional Autonomous Vehicles: Results from Controlled Experiments
Sep 2, 2026Zeyu Mu, Danjue Chen, Abhinav Sharma +1Vehicle Trajectory Prediction
Department of Systems and Information Engineering, University of Virginia Charlottesville, VA 22903 · Department of Civil, Construction, and Environmental Engineering, North Carolina State University Raleigh, NC 27695, USA
A Unified Framework for Trajectory Prediction with Explicit Planning and Reaction Decomposition
Aug 6, 2026Jiaheng Chen, Jiaxing Li, Tinghe Zhang +1Pedestrian Trajectory Prediction Multi-Agent Trajectory Prediction
Software College, Northeastern University Shenyang, China
Pivot-Centric Trajectory Prediction: Bridging Long Horizons via Dynamical Guidance
Aug 4, 2026Xiucong Zhao, Jindong Tian, Hao MiaoMulti-Agent Trajectory Prediction Autonomous Driving
1Xi’an Jiaotong University · 2East China Normal University · 3Hong Kong Polytechnic University
WorkDrive: Roadwork Chain of Causation for Autonomous Driving
Jul 16, 2026Tianyi Jiang, Wen Zhang, Sihan Yang +2VLMs for Autonomous Driving Autonomous Driving Perception
Peking University · Beijing, China · Xiaomi EV
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
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving
Jul 6, 2026Miguel Antunes-García, Santiago Montiel-Marín, Fabio Sánchez-García +3Autonomous Driving Perception Vehicle Trajectory Prediction
Electronics Department, University of Alcalá (UAH), Alcalá de Henares, Spain
SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving
Jul 3, 2026Chengyue Wang, Bin Rao, Haicheng Liao +3Multi-Agent Trajectory Prediction Autonomous Driving
State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau · Department of Civil and Environmental Engineering, University of Macau, Macau
Teaching Vision-Language-Action Models What to See and Where to Look
Jul 2, 2026Yuguang Yang, Canyu Chen, Zhewen Tan +10End-to-End Autonomous Driving VLM Distillation
School of Electronic Information Engineering, Beihang University · Institute for AI Industry Research (AIR), Tsinghua University · National College for Excellent Engineers, Beihang University +5
SD-RouteFusion: Ego-Trajectory Prediction with SD-Map Route Conditioning
Jul 1, 2026Sviatoslav Voloshyn, Bruno K. W. Martens, Wangxin Liu +2Autonomous Driving Trajectory Inference
Zenseact, Gothenburg, Sweden
What Probing Reveals about Autonomous Driving: Linking Internal Prediction Errors to Ego Planning
Jun 30, 2026Hyeonchang Jeon, Kyungbeom Kim, Eugene Vinitsky +1Autonomous Driving Safety Evaluation Autonomous Driving Planning
1Gwangju Institute of Science and Technology (GIST) · 2New York University
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
A Generative Model for Closed-Loop Microsimulation of Signalized Intersections
Jun 22, 2026Yash Ranjan, Rahul Sengupta, Anand Rangarajan +1Intelligent Transportation Systems Vehicle Trajectory Prediction
Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL 32611, USA
Mind the Noise: Sensitivity of Transformer-based Interaction-Aware Trajectory Prediction Models to Noisy Data
Jun 19, 2026Shahab Salehi, Luca Lusvarghi, Miguel Sepulcre +1Multi-Agent Trajectory Prediction Autonomous Driving
Networked Systems Lab, Universidad Miguel Hernandez de Elche, Elche, Spain
Constant Time-Delay Leader Following with Neural Networks and Invariant Extended Kalman Filters for Arbitrary Trajectories
Jun 17, 2026Luka Antonyshyn, Paulo Ricardo Marques de Araujo, Sidney GivigiRobotic Control Intelligent Transportation Systems
University of Toronto Institute for Aerospace Studies, Toronto, Canada · School of Computing, Queen’s University, Kingston, Canada
Pride and Prejudice: Toward an Information-Theoretic Framework for Mutually Communicative Driver Behavior Modeling
Jun 15, 2026Tingjun Li, Nan Xu, Shuo Feng +3Autonomous Driving Vehicle Trajectory Prediction
State Key Laboratory of Automotive Chassis Integration and Bionics, Jilin University, 5988 Renmin Street, Changchun, 130025, Jilin, China · Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China · Department of Engineering, Brock University, 1812 Sir Isaac Brock Way, St. Catharines, L2S3A1, Ontario, Canada +1
From Correlation to Causation in Lane Change Prediction for Automated Driving: A Causal Explanation Framework
Jun 14, 2026Mohamed Manzour, Aditya Kumar, Augusto Luis Ballardini +1Structural Causal Models Autonomous Driving
Computer Engineering Department, University of Alcalá, Madrid, Spain
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
A Comparative Study of Graph Neural Network Layer Selection for Interaction Modelling in Driving Trajectory Prediction
Jun 12, 2026George Daoud, Mohamed El-DariebyGraph Neural Networks Multi-Agent Trajectory Prediction
Ontario Tech University, Oshawa, ON, Canada · Assiut University, Assiut, Egypt
NOVA: Symbolic Regression Discovery of Interpretable Car-Following and Lane-Change Models with Driver Heterogeneity
Jun 9, 2026Ishak Abassi, Nassim Ali Bouazzouni, Farah Ibelaiden +1Intelligent Transportation Systems Vehicle Trajectory Prediction
Department of Industrial Systems Engineering, National School of Artificial Intelligence (ENSIA), Algeria. · Cosys-Grettia, Univ Gustave Eiffel, F-77454 Marne-la-Vallee, France.
From Cues to Horizons: Dynamic Risk Horizon Profiling for Trajectory Prediction
May 30, 2026Xinyi Ning, Zilin Bian, Dachuan Zuo +2Autonomous Driving Trajectory Prediction
Department of Civil and Urban Engineering, New York University. · Department of Civil Engineering Technology and Environmental Management Safety, Rochester Institute of Technology.
VL-DPO: Vision-Language-Guided Finetuning for Preference-Aligned Autonomous Driving
May 19, 2026Zhefan Xu, Ghassen Jerfel, Marina Haliem +3Autonomous Driving Trajectory Prediction
Waymo
Latency Analysis and Optimization of Alpamayo 1 via Efficient Trajectory Generation
May 9, 2026Yunseong Jeon, Namcheol Lee, Yoonsu Lee +4Efficient Inference End-to-End Autonomous Driving
Graduate School of Automobile and Mobility, Kookmin University, Seoul, Republic of Korea · Department of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea
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

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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