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 121–130 of 205 papers

TitleStatusHype
Dyadic Human Motion Prediction—0
Dynamic Scenario Representation Learning for Motion Forecasting with Heterogeneous Graph Convolutional Recurrent Networks—0
Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors—0
EqDrive: Efficient Equivariant Motion Forecasting with Multi-Modality for Autonomous Driving—0
Exploiting map information for self-supervised learning in motion forecasting—0
Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net—0
FFINet: Future Feedback Interaction Network for Motion Forecasting—0
FIMP: Future Interaction Modeling for Multi-Agent Motion Prediction—0
Fooling Neural Networks for Motion Forecasting via Adversarial Attacks—0
Future-Aware Interaction Network For Motion Forecasting—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