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 151–160 of 205 papers

TitleStatusHype
Decoder Fusion RNN: Context and Interaction Aware Decoders for Trajectory Prediction—0
RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting—0
HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps—0
Multimodal trajectory forecasting based on discrete heat map—0
NuPlan: A closed-loop ML-based planning benchmark for autonomous vehiclesCode1
Spectral Temporal Graph Neural Network for Trajectory Prediction—0
HOME: Heatmap Output for future Motion EstimationCode1
MVFuseNet: Improving End-to-End Object Detection and Motion Forecasting through Multi-View Fusion of LiDAR Data—0
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset—0
Multi-Modal Fusion Transformer for End-to-End Autonomous DrivingCode2
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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