SOTAVerified

Motion Forecasting

Motion forecasting is the task of predicting the location of a tracked object in the future

Papers

Showing 91100 of 205 papers

TitleStatusHype
Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net0
Learning to Generate Diverse Pedestrian Movements from Web Videos with Noisy Labels0
Learning to Communicate and Correct Pose Errors0
LTP: Lane-Based Trajectory Prediction for Autonomous Driving0
Exploiting map information for self-supervised learning in motion forecasting0
CoT-Drive: Efficient Motion Forecasting for Autonomous Driving with LLMs and Chain-of-Thought Prompting0
Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding0
LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting0
Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset0
EqDrive: Efficient Equivariant Motion Forecasting with Multi-Modality for Autonomous Driving0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1WSTbrier-minFDE (K=6)26.41Unverified
2BaseballBrobrier-minFDE (K=6)24.35Unverified
3Constant velocity map priorbrier-minFDE (K=6)23.39Unverified
4DQSbrier-minFDE (K=6)12.88Unverified
5xjtub09brier-minFDE (K=6)11.46Unverified
6suubrier-minFDE (K=6)9.51Unverified
7yellowtaxibrier-minFDE (K=6)8.86Unverified
8Online_CLbrier-minFDE (K=6)8.75Unverified
9RuShengbrier-minFDE (K=6)8.38Unverified
10mmmdddbrier-minFDE (K=6)8.26Unverified