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 126–150 of 205 papers

TitleStatusHype
VN-Transformer: Rotation-Equivariant Attention for Vector Neurons—0
Narrowing the Coordinate-frame Gap in Behavior Prediction Models: Distillation for Efficient and Accurate Scene-centric Motion Forecasting—0
StopNet: Scalable Trajectory and Occupancy Prediction for Urban Autonomous Driving—0
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous DrivingCode3
Bootstrap Motion Forecasting With Self-Consistent Constraints—0
Forecasting from LiDAR via Future Object DetectionCode1
Domain Knowledge Driven Pseudo Labels for Interpretable Goal-Conditioned Interactive Trajectory Prediction—0
Occupancy Flow Fields for Motion Forecasting in Autonomous Driving—0
Motron: Multimodal Probabilistic Human Motion ForecastingCode1
Didn't see that coming: a survey on non-verbal social human behavior forecasting—0
Path-Aware Graph Attention for HD Maps in Motion Prediction—0
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-AttentionCode1
HiVT: Hierarchical Vector Transformer for Multi-Agent Motion PredictionCode2
LTP: Lane-Based Trajectory Prediction for Autonomous Driving—0
Dyadic Human Motion Prediction—0
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior PredictionCode1
Towards Robust and Adaptive Motion Forecasting: A Causal Representation PerspectiveCode1
Data-Driven System Identification of 6-DoF Ship Motion in Waves with Neural Networks—0
Trajectory Prediction with Graph-based Dual-scale Context FusionCode1
Simple Baseline for Single Human Motion Forecasting—0
Application of Graph Convolutions in a Lightweight Model for Skeletal Human Motion ForecastingCode0
Raising context awareness in motion forecastingCode1
GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation—0
Are socially-aware trajectory prediction models really socially-aware?Code1
DenseTNT: End-to-end Trajectory Prediction from Dense Goal SetsCode1
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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