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 61–70 of 187 papers

TitleStatusHype
Human Trajectory Forecasting with Explainable Behavioral Uncertainty—0
Enhancing Mapless Trajectory Prediction through Knowledge Distillation—0
Collision Avoidance Detour for Multi-Agent Trajectory Forecasting—0
RedMotion: Motion Prediction via Redundancy ReductionCode1
CAVEN: An Embodied Conversational Agent for Efficient Audio-Visual Navigation in Noisy Environments—0
Smooth-Trajectron++: Augmenting the Trajectron++ behaviour prediction model with smooth attentionCode0
Pedestrian Trajectory Forecasting Using Deep Ensembles Under Sensing Uncertainty—0
Distilling Knowledge for Short-to-Long Term Trajectory Prediction—0
Joint Metrics Matter: A Better Standard for Trajectory ForecastingCode0
V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and ForecastingCode1
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