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 91–100 of 205 papers

TitleStatusHype
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction—0
Future-Aware Interaction Network For Motion Forecasting—0
Decoder Fusion RNN: Context and Interaction Aware Decoders for Trajectory Prediction—0
Bootstrap Motion Forecasting With Self-Consistent Constraints—0
Fooling Neural Networks for Motion Forecasting via Adversarial Attacks—0
Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding—0
FIMP: Future Interaction Modeling for Multi-Agent Motion Prediction—0
MambaBEV: An efficient 3D detection model with Mamba2—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
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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