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
LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting—0
Learning to Communicate and Correct Pose Errors—0
Learning to Generate Diverse Pedestrian Movements from Web Videos with Noisy Labels—0
Learning to Predict Vehicle Trajectories with Model-based Planning—0
Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction—0
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving—0
LTP: Lane-Based Trajectory Prediction for Autonomous Driving—0
MambaBEV: An efficient 3D detection model with Mamba2—0
Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding—0
Modular Framework for Uncertainty Prediction in Autonomous Vehicle Motion Forecasting within Complex Traffic Scenarios—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