SOTAVerified

Trajectory Forecasting

Trajectory forecasting is a sequential prediction task, where a forecasting model predicts future trajectories of all moving agents (humans, vehicles, etc.) in a scene, based on their past trajectories and/or the scene context.

(Illustrative figure from Social NCE: Contrastive Learning of Socially-aware Motion Representations)

Papers

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Showing 11–20 of 187 papers

TitleStatusHype
Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation SpaceCode1
Streaming Motion Forecasting for Autonomous DrivingCode1
TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction ModelsCode1
EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory ForecastingCode1
Uncertainty-aware State Space Transformer for Egocentric 3D Hand Trajectory ForecastingCode1
RedMotion: Motion Prediction via Redundancy ReductionCode1
V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and ForecastingCode1
Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting from Multimodal DataCode1
Pishgu: Universal Path Prediction Network Architecture for Real-time Cyber-physical Edge SystemsCode1
Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking?Code1
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