SOTAVerified

Motion Forecasting

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

Papers

Showing 141150 of 205 papers

TitleStatusHype
Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors0
EqDrive: Efficient Equivariant Motion Forecasting with Multi-Modality for Autonomous Driving0
Exploiting map information for self-supervised learning in motion forecasting0
Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net0
FFINet: Future Feedback Interaction Network for Motion Forecasting0
FIMP: Future Interaction Modeling for Multi-Agent Motion Prediction0
Fooling Neural Networks for Motion Forecasting via Adversarial Attacks0
Future-Aware Interaction Network For Motion Forecasting0
Future Does Matter: Boosting 3D Object Detection with Temporal Motion Estimation in Point Cloud Sequences0
FutureNet-LOF: Joint Trajectory Prediction and Lane Occupancy Field Prediction with Future Context Encoding0
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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