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 51–60 of 205 papers

TitleStatusHype
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-AttentionCode1
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior PredictionCode1
Towards Robust and Adaptive Motion Forecasting: A Causal Representation PerspectiveCode1
Trajectory Prediction with Graph-based Dual-scale Context FusionCode1
Raising context awareness in motion forecastingCode1
Are socially-aware trajectory prediction models really socially-aware?Code1
DenseTNT: End-to-end Trajectory Prediction from Dense Goal SetsCode1
NuPlan: A closed-loop ML-based planning benchmark for autonomous vehiclesCode1
HOME: Heatmap Output for future Motion EstimationCode1
Social NCE: Contrastive Learning of Socially-aware Motion RepresentationsCode1
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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