SOTAVerified

Motion Forecasting

Motion forecasting is the task of predicting the location of a tracked object in the future

Papers

Showing 126150 of 205 papers

TitleStatusHype
Staged Contact-Aware Global Human Motion ForecastingCode0
Vehicle Motion Forecasting using Prior Information and Semantic-assisted Occupancy Grid Maps0
Persistent-Transient Duality: A Multi-mechanism Approach for Modeling Human-Object Interaction0
The 2nd Place Solution for 2023 Waymo Open Sim Agents Challenge0
SIMMF: Semantics-aware Interactive Multiagent Motion Forecasting for Autonomous Vehicle Driving0
MotionDiffuser: Controllable Multi-Agent Motion Prediction using Diffusion0
Regularizing Towards Soft Equivariance Under Mixed Symmetries0
Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction0
TSGN: Temporal Scene Graph Neural Networks with Projected Vectorized Representation for Multi-Agent Motion Prediction0
WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting0
ProphNet: Efficient Agent-Centric Motion Forecasting with Anchor-Informed Proposals0
Dynamic Scenario Representation Learning for Motion Forecasting with Heterogeneous Graph Convolutional Recurrent Networks0
Generative Causal Representation Learning for Out-of-Distribution Motion ForecastingCode0
Robust Human Motion Forecasting using Transformer-based Model0
Test-time Personalizable Forecasting of 3D Human Poses0
R-Pred: Two-Stage Motion Prediction Via Tube-Query Attention-Based Trajectory Refinement0
GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting0
Improving Motion Forecasting for Autonomous Driving with the Cycle Consistency Loss0
Conditional Goal-oriented Trajectory Prediction for Interacting Vehicles with Vectorized Representation0
Exploiting map information for self-supervised learning in motion forecasting0
Interpretable Deep Tracking0
QML for Argoverse 2 Motion Forecasting Challenge0
TENET: Transformer Encoding Network for Effective Temporal Flow on Motion Prediction0
BANet: Motion Forecasting with Boundary Aware Network0
Narrowing the Coordinate-frame Gap in Behavior Prediction Models: Distillation for Efficient and Accurate Scene-centric Motion Forecasting0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1WSTbrier-minFDE (K=6)26.41Unverified
2BaseballBrobrier-minFDE (K=6)24.35Unverified
3Constant velocity map priorbrier-minFDE (K=6)23.39Unverified
4DQSbrier-minFDE (K=6)12.88Unverified
5xjtub09brier-minFDE (K=6)11.46Unverified
6suubrier-minFDE (K=6)9.51Unverified
7yellowtaxibrier-minFDE (K=6)8.86Unverified
8Online_CLbrier-minFDE (K=6)8.75Unverified
9RuShengbrier-minFDE (K=6)8.38Unverified
10mmmdddbrier-minFDE (K=6)8.26Unverified