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 1–25 of 205 papers

TitleStatusHype
ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention CaptureCode0
GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction—0
Scaling Laws of Motion Forecasting and Planning -- A Technical Report—0
HUMOF: Human Motion Forecasting in Interactive Social Scenes—0
Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories—0
RetroMotion: Retrocausal Motion Forecasting Models are InstructableCode0
HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning—0
VALISENS: A Validated Innovative Multi-Sensor System for Cooperative Automated Driving—0
M3CAD: Towards Generic Cooperative Autonomous Driving BenchmarkCode1
SafeCast: Risk-Responsive Motion Forecasting for Autonomous Vehicles—0
CoT-Drive: Efficient Motion Forecasting for Autonomous Driving with LLMs and Chain-of-Thought Prompting—0
Future-Aware Interaction Network For Motion Forecasting—0
Motion Forecasting for Autonomous Vehicles: A Survey—0
Target-driven Self-Distillation for Partial Observed Trajectories Forecasting—0
Modular Framework for Uncertainty Prediction in Autonomous Vehicle Motion Forecasting within Complex Traffic Scenarios—0
TrajFlow: A Generative Framework for Occupancy Density Estimation Using Normalizing FlowsCode0
PPT: Pretraining with Pseudo-Labeled Trajectories for Motion Forecasting—0
Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors—0
Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding—0
Planning-Aware Diffusion Networks for Enhanced Motion Forecasting in Autonomous Driving—0
MambaBEV: An efficient 3D detection model with Mamba2—0
Learning to Generate Diverse Pedestrian Movements from Web Videos with Noisy Labels—0
DeMo: Decoupling Motion Forecasting into Directional Intentions and Dynamic StatesCode2
Motion Forecasting in Continuous DrivingCode2
MDMP: Multi-modal Diffusion for supervised Motion Predictions with uncertaintyCode1
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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