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 51–100 of 205 papers

TitleStatusHype
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory PredictionCode1
Stochastic Multi-Person 3D Motion ForecastingCode1
Snipper: A Spatiotemporal Transformer for Simultaneous Multi-Person 3D Pose Estimation Tracking and Forecasting on a Video SnippetCode1
Raising context awareness in motion forecastingCode1
Social GAN: Socially Acceptable Trajectories with Generative Adversarial NetworksCode1
Streaming Motion Forecasting for Autonomous DrivingCode1
GaitForeMer: Self-Supervised Pre-Training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity EstimationCode1
GANet: Goal Area Network for Motion ForecastingCode1
Peeking into the Future: Predicting Future Person Activities and Locations in VideosCode1
Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?Code1
DenseTNT: End-to-end Trajectory Prediction from Dense Goal SetsCode1
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior PredictionCode1
Motron: Multimodal Probabilistic Human Motion ForecastingCode1
Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion ForecastingCode1
CausalAgents: A Robustness Benchmark for Motion Forecasting using Causal RelationshipsCode1
MotionLM: Multi-Agent Motion Forecasting as Language ModelingCode1
TNT: Target-driveN Trajectory PredictionCode1
Learning Lane Graph Representations for Motion ForecastingCode1
NuPlan: A closed-loop ML-based planning benchmark for autonomous vehiclesCode1
GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction—0
GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation—0
GazeMotion: Gaze-guided Human Motion Forecasting—0
FutureNet-LOF: Joint Trajectory Prediction and Lane Occupancy Field Prediction with Future Context Encoding—0
Future Does Matter: Boosting 3D Object Detection with Temporal Motion Estimation in Point Cloud Sequences—0
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction—0
Motion Forecasting via Model-Based Risk Minimization—0
Future-Aware Interaction Network For Motion Forecasting—0
Decoder Fusion RNN: Context and Interaction Aware Decoders for Trajectory Prediction—0
Bootstrap Motion Forecasting With Self-Consistent Constraints—0
AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving—0
Fooling Neural Networks for Motion Forecasting via Adversarial Attacks—0
FIMP: Future Interaction Modeling for Multi-Agent Motion Prediction—0
MambaBEV: An efficient 3D detection model with Mamba2—0
FFINet: Future Feedback Interaction Network for Motion Forecasting—0
Data-Driven System Identification of 6-DoF Ship Motion in Waves with Neural Networks—0
Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting—0
Motion Forecasting with Unlikelihood Training—0
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving—0
Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction—0
Learning to Predict Vehicle Trajectories with Model-based Planning—0
Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net—0
Learning to Generate Diverse Pedestrian Movements from Web Videos with Noisy Labels—0
Learning to Communicate and Correct Pose Errors—0
LTP: Lane-Based Trajectory Prediction for Autonomous Driving—0
Exploiting map information for self-supervised learning in motion forecasting—0
CoT-Drive: Efficient Motion Forecasting for Autonomous Driving with LLMs and Chain-of-Thought Prompting—0
Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding—0
LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting—0
Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset—0
EqDrive: Efficient Equivariant Motion Forecasting with Multi-Modality for Autonomous Driving—0
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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