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 141–150 of 205 papers

TitleStatusHype
R-Pred: Two-Stage Motion Prediction Via Tube-Query Attention-Based Trajectory Refinement—0
GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting—0
Improving Motion Forecasting for Autonomous Driving with the Cycle Consistency Loss—0
Conditional Goal-oriented Trajectory Prediction for Interacting Vehicles with Vectorized Representation—0
Exploiting map information for self-supervised learning in motion forecasting—0
Interpretable Deep Tracking—0
QML for Argoverse 2 Motion Forecasting Challenge—0
TENET: Transformer Encoding Network for Effective Temporal Flow on Motion Prediction—0
BANet: Motion Forecasting with Boundary Aware Network—0
Narrowing the Coordinate-frame Gap in Behavior Prediction Models: Distillation for Efficient and Accurate Scene-centric 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