Overview

Trajectory prediction estimates future paths from past motion and cues such as maps, goals, other agents, and environmental conditions. Common methods include Transformers, graph neural networks, and state-space models, alongside probabilistic approaches such as variational autoencoders, diffusion, and flow matching that represent multiple possible futures. Physics-based models, retrieval, and language or vision-language models are also used, especially when forecasts must support planning or work across domains. A central challenge is balancing accuracy and efficient inference with calibrated uncertainty, realistic and safe behavior, and reliable performance under distribution shifts; displacement benchmarks alone may not capture success in closed-loop settings.

Latest papers

CardsList

187 papers19 papers in the last four weeks, down 14% on the four weeks before. 0.1% of all new papers.

  1. Learning the 4D World through Point Trajectory Forecasting

    Oct 20, 2026Byungwoo Jeon, Sunghwan Hong, Dohyeon Kim +103D Scene PredictionMulti-View Video Generation

  2. Selective Next-Location Prediction with MetaModelSelect: A Lightweight Post-Hoc Confidence Metamodel

    Oct 14, 2026Calvin Jary, Nafiseh KahaniSelective PredictionPost-Hoc Calibration

  3. Physics-Aware Object-Centric SE(3) Forecasting for Real-Time Proactive Dynamic Grasping

    Oct 13, 2026Yirui Zhou, Hongli Xu, Ying Zheng +2Robotic GraspingDynamic Robotic Manipulation

  4. Box-WAM: Box Trajectories as Compact State Representations for World Action Models

    Oct 13, 2026Qinxi Yu, Wenzhou Ding, Gloria X. Wang +2World Action ModelsWorld Models for Robotics

  5. ReForesight: Occlusion-Robust Re-Identification and Future Occupancy Forecasting for Dynamic Semantic Mapping

    Oct 12, 2026Didar Seyidov, Faith Ogunwoye, Hajira Amjad +3Query Re-IdentificationTrajectory Prediction

  6. JtT: Rethinking Point Trajectory Diffusion for Diverse and Rigid Motion from an Image

    Oct 12, 2026Gabrijel Boduljak, Yushi Lan, Christian Rupprecht +1Trajectory PredictionMotion Diffusion Models

  7. Manifold Navigation Learning Using Recurrent Networks: Efficient Training Techniques

    Oct 9, 2026Sarah Harkins Dayton, Sathya Rengaswami, Vasileios Maroulas +2Trajectory PredictionRecurrent Neural Networks

  8. Target-Constrained Pooling for Trajectory Extrapolation

    Oct 9, 2026Ning Wang, Claire Cardie, Sainyam GalhotraTrajectory Prediction

  9. Control-Ready Uncertainty for Trajectory Diffusion

    Oct 8, 2026Zhiwei Xue, Jia Yue Kam, Jinhang Qiu +5Uncertainty CalibrationProbabilistic Trajectory Prediction

  10. Uncertainty-Aware Optimization for Physics-Aware Highway Trajectory Prediction

    Oct 8, 2026Aanchal Rajesh Chugh, Sebastian DornProbabilistic Trajectory PredictionTrajectory Prediction

  11. MoCAR: Motion-code Coordinate-aware AutoRegression for Continuous Trajectory Forecasting

    Oct 5, 2026Yiming Xu, Hao Cheng, Monika SesterTrajectory GenerationTrajectory Representation Learning

  12. Markovian Dynamics Enforcer: Feasibility Preserving Correction on Learned Dynamics Manifolds

    Sep 30, 2026Kevin Yu, Tao Guo, Constantinos Antoniou +1Trajectory PredictionVehicle Trajectory Prediction

  13. Admissible Diffusion for Multimodal Interventional Trajectories

    Sep 28, 2026Xing Han, Shravan Chaudhari, Jiarui Shao +2Constrained Generative ModelingCausal Inference

  14. DevelopmentODE: Structured Neural ODEs for Early Brain Development Dynamics Across a Decade

    Sep 27, 2026Kaiqiao Han, Haitao Chen, Bryan Quah +5Trajectory PredictionNeural ODEs

  15. BranchDrive: A Branch-Structured Dataset for Action-Conditioned Driving Prediction

    Sep 23, 2026Feeza Khan Khanzada, Sudarshan Sridhar, Jaerock KwonAutonomous Driving DatasetsAutonomous Driving Benchmarks

  16. Steering Through Contact: A Finite-Support Motion Model for Single-Track Center-Articulated Robots

    Sep 20, 2026Mohamed Dhia Ounally, Nicolas Samson, Mathis Turgeon-Roy +3Robot Motion PredictionRobotics

  17. MoWAM: Explicit Future Motion Prediction for Efficient World Action Models

    Sep 17, 2026Jiayu Wang, Bin Zhu, Yue Yu +1World Models for RoboticsWorld Model-Based Planning

  18. Vehicle Trajectory Prediction via Neural Fusion of Multiple EKF-Based Trajectory Candidates

    Sep 17, 2026Seong-Jun Kim, Seung-Hyun KongTrajectory PredictionVehicle Trajectory Prediction

  19. Kernel-Based Metrics Learning for Uncertain Opponent Vehicle Trajectory Prediction in Autonomous Racing

    Sep 15, 2026Hojin Lee, Youngim Nam, Sanghun Lee +1Probabilistic Trajectory PredictionDeep Kernel Learning

  20. FlowATC: Aircraft Trajectory Prediction via Flow Matching

    Sep 15, 2026Mathurin Petit, Emir Torun, Louis Brusset +2Probabilistic Trajectory PredictionFlow Matching

  21. UDAV: Uncertainty-Driven Adaptive VLM Waypoint Planner

    Sep 14, 2026Ghazal Farhani, Shabnam ShabaniUncertainty Estimation for VLA ModelsTrajectory Generation

  22. Drift Field Net: Learning Ocean Lagrangian advection fields from in-situ and satellite observations

    Sep 14, 2026Théo Archambault, Pierre Garcia, Mattia Romero +2Physics-Informed MLSpatiotemporal Forecasting

  23. MoveBench: A Benchmark for Global-Scale Wildlife Movement Forecasting

    Sep 14, 2026Justin Kay, Shir Bar, Ellen O. Aikens +28Forecasting BenchmarksProbabilistic Forecasting

  24. Enhancing Human Mobility Prediction with Spatially Aware LLM-based Multi-Agent Systems

    Sep 13, 2026Shangyu Lou, Ziqi CuiTrajectory PredictionSpatial Reasoning