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 61–70 of 205 papers

TitleStatusHype
TNT: Target-driveN Trajectory PredictionCode1
V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and PredictionCode1
Learning Lane Graph Representations for Motion ForecastingCode1
Towards Streaming PerceptionCode1
Improving Movement Predictions of Traffic Actors in Bird's-Eye View Models using GANs and Differentiable Trajectory RasterizationCode1
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory PredictionCode1
Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous DataCode1
Peeking into the Future: Predicting Future Person Activities and Locations in VideosCode1
Social GAN: Socially Acceptable Trajectories with Generative Adversarial NetworksCode1
ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention CaptureCode0
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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