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 1–10 of 205 papers

TitleStatusHype
ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention CaptureCode0
GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction—0
Scaling Laws of Motion Forecasting and Planning -- A Technical Report—0
HUMOF: Human Motion Forecasting in Interactive Social Scenes—0
Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories—0
RetroMotion: Retrocausal Motion Forecasting Models are InstructableCode0
HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning—0
VALISENS: A Validated Innovative Multi-Sensor System for Cooperative Automated Driving—0
M3CAD: Towards Generic Cooperative Autonomous Driving BenchmarkCode1
SafeCast: Risk-Responsive Motion Forecasting 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