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 181–190 of 205 papers

TitleStatusHype
Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset—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
Simple means Faster: Real-Time Human Motion Forecasting in Monocular First Person Videos on CPU—0
Multiple Trajectory Prediction with Deep Temporal and Spatial Convolutional Neural Networks—0
PRANK: motion Prediction based on RANKing—0
Driving among Flatmobiles: Bird-Eye-View occupancy grids from a monocular camera for holistic trajectory planning—0
SMART: Simultaneous Multi-Agent Recurrent Trajectory Prediction—0
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting—0
Probabilistic Multi-modal Trajectory Prediction with Lane Attention for Autonomous Vehicles—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