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 161–170 of 205 papers

TitleStatusHype
MotionDiffuser: Controllable Multi-Agent Motion Prediction using Diffusion—0
Motion Forecasting for Autonomous Vehicles: A Survey—0
Motion Forecasting via Model-Based Risk Minimization—0
Motion Forecasting with Unlikelihood Training—0
MSTF: Multiscale Transformer for Incomplete Trajectory Prediction—0
Multi-Head Attention for Multi-Modal Joint Vehicle Motion Forecasting—0
Multimodal trajectory forecasting based on discrete heat map—0
Multiple Trajectory Prediction with Deep Temporal and Spatial Convolutional Neural Networks—0
MVFuseNet: Improving End-to-End Object Detection and Motion Forecasting through Multi-View Fusion of LiDAR Data—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