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 101–150 of 205 papers

TitleStatusHype
Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting—0
A Deep Learning Approach for Motion Forecasting Using 4D OCT Data—0
AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving—0
Conditional Goal-oriented Trajectory Prediction for Interacting Vehicles with Vectorized Representation—0
Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories—0
CoT-Drive: Efficient Motion Forecasting for Autonomous Driving with LLMs and Chain-of-Thought Prompting—0
Data-Driven System Identification of 6-DoF Ship Motion in Waves with Neural Networks—0
Bootstrap Motion Forecasting With Self-Consistent Constraints—0
Decoder Fusion RNN: Context and Interaction Aware Decoders for Trajectory Prediction—0
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction—0
Didn't see that coming: a survey on non-verbal social human behavior forecasting—0
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction—0
Diverse Complexity Measures for Dataset Curation in Self-driving—0
Domain Knowledge Driven Pseudo Labels for Interpretable Goal-Conditioned Interactive Trajectory Prediction—0
DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving—0
Driving among Flatmobiles: Bird-Eye-View occupancy grids from a monocular camera for holistic trajectory planning—0
Dyadic Human Motion Prediction—0
Dynamic Scenario Representation Learning for Motion Forecasting with Heterogeneous Graph Convolutional Recurrent Networks—0
Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors—0
EqDrive: Efficient Equivariant Motion Forecasting with Multi-Modality for Autonomous Driving—0
Exploiting map information for self-supervised learning in motion forecasting—0
Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net—0
FFINet: Future Feedback Interaction Network for Motion Forecasting—0
FIMP: Future Interaction Modeling for Multi-Agent Motion Prediction—0
Fooling Neural Networks for Motion Forecasting via Adversarial Attacks—0
Future-Aware Interaction Network For Motion Forecasting—0
Future Does Matter: Boosting 3D Object Detection with Temporal Motion Estimation in Point Cloud Sequences—0
FutureNet-LOF: Joint Trajectory Prediction and Lane Occupancy Field Prediction with Future Context Encoding—0
GazeMotion: Gaze-guided Human Motion Forecasting—0
GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation—0
GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction—0
GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting—0
HalentNet: Multimodal Trajectory Forecasting with Hallucinative Intents—0
HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning—0
HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps—0
HOIMotion: Forecasting Human Motion During Human-Object Interactions Using Egocentric 3D Object Bounding Boxes—0
Human Motion Anticipation with Symbolic Label—0
HUMOF: Human Motion Forecasting in Interactive Social Scenes—0
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting—0
Improving Motion Forecasting for Autonomous Driving with the Cycle Consistency Loss—0
Interpretable Deep Tracking—0
KI-PMF: Knowledge Integrated Plausible Motion Forecasting—0
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting—0
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset—0
Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset—0
LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting—0
Learning to Communicate and Correct Pose Errors—0
Learning to Generate Diverse Pedestrian Movements from Web Videos with Noisy Labels—0
Learning to Predict Vehicle Trajectories with Model-based Planning—0
Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction—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