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 11–20 of 205 papers

TitleStatusHype
Frozen Transformers in Language Models Are Effective Visual Encoder LayersCode2
Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked AutoencodersCode2
trajdata: A Unified Interface to Multiple Human Trajectory DatasetsCode2
QCNeXt: A Next-Generation Framework For Joint Multi-Agent Trajectory PredictionCode2
Argoverse 2: Next Generation Datasets for Self-Driving Perception and ForecastingCode2
Query-Centric Trajectory PredictionCode2
Wayformer: Motion Forecasting via Simple & Efficient Attention NetworksCode2
HiVT: Hierarchical Vector Transformer for Multi-Agent Motion PredictionCode2
Multi-Modal Fusion Transformer for End-to-End Autonomous DrivingCode2
M3CAD: Towards Generic Cooperative Autonomous Driving BenchmarkCode1
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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