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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 71–80 of 187 papers

TitleStatusHype
Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions—0
Controllable Motion Generation via Diffusion Modal CouplingCode0
EMT: A Visual Multi-Task Benchmark Dataset for Autonomous Driving in the Arab Gulf RegionCode0
TrajFlow: A Generative Framework for Occupancy Density Estimation Using Normalizing FlowsCode0
ASTRA: A Scene-aware TRAnsformer-based model for trajectory prediction—0
Socially-Informed Reconstruction for Pedestrian Trajectory ForecastingCode0
Who Walks With You Matters: Perceiving Social Interactions with Groups for Pedestrian Trajectory Prediction—0
RealTraj: Towards Real-World Pedestrian Trajectory Forecasting—0
DODT: Enhanced Online Decision Transformer Learning through Dreamer's Actor-Critic Trajectory Forecasting—0
TrajGPT: Irregular Time-Series Representation Learning for Health Trajectory Analysis—0
Show:102550
← PrevPage 8 of 19Next →

No leaderboard results yet.