SOTAVerified

Motion Forecasting

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 81–90 of 205 papers

TitleStatusHype
Fooling Neural Networks for Motion Forecasting via Adversarial Attacks—0
FIMP: Future Interaction Modeling for Multi-Agent Motion Prediction—0
FFINet: Future Feedback Interaction Network for Motion Forecasting—0
Data-Driven System Identification of 6-DoF Ship Motion in Waves with Neural Networks—0
Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting—0
MambaBEV: An efficient 3D detection model with Mamba2—0
Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net—0
Learning to Communicate and Correct Pose Errors—0
Exploiting map information for self-supervised learning in motion forecasting—0
CoT-Drive: Efficient Motion Forecasting for Autonomous Driving with LLMs and Chain-of-Thought Prompting—0
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Benchmark Results

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