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 151–200 of 205 papers

TitleStatusHype
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
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving—0
LTP: Lane-Based Trajectory Prediction for Autonomous Driving—0
MambaBEV: An efficient 3D detection model with Mamba2—0
Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding—0
Modular Framework for Uncertainty Prediction in Autonomous Vehicle Motion Forecasting within Complex Traffic Scenarios—0
MotionDiffuser: Controllable Multi-Agent Motion Prediction using Diffusion—0
Motion Forecasting for Autonomous Vehicles: A Survey—0
Motion Forecasting via Model-Based Risk Minimization—0
Motion Forecasting with Unlikelihood Training—0
MSTF: Multiscale Transformer for Incomplete Trajectory Prediction—0
Multi-Head Attention for Multi-Modal Joint Vehicle Motion Forecasting—0
Multimodal trajectory forecasting based on discrete heat map—0
Multiple Trajectory Prediction with Deep Temporal and Spatial Convolutional Neural Networks—0
MVFuseNet: Improving End-to-End Object Detection and Motion Forecasting through Multi-View Fusion of LiDAR Data—0
Narrowing the Coordinate-frame Gap in Behavior Prediction Models: Distillation for Efficient and Accurate Scene-centric Motion Forecasting—0
Occupancy Flow Fields for Motion Forecasting in Autonomous Driving—0
BANet: Motion Forecasting with Boundary Aware Network—0
TENET: Transformer Encoding Network for Effective Temporal Flow on Motion Prediction—0
Test-time Personalizable Forecasting of 3D Human Poses—0
The 2nd Place Solution for 2023 Waymo Open Sim Agents Challenge—0
The Importance of Prior Knowledge in Precise Multimodal Prediction—0
The WayHome: Long-term Motion Prediction on Dynamically Scaled—0
TPCN: Temporal Point Cloud Networks for Motion Forecasting—0
TrajSSL: Trajectory-Enhanced Semi-Supervised 3D Object Detection—0
TSGN: Temporal Scene Graph Neural Networks with Projected Vectorized Representation for Multi-Agent Motion Prediction—0
VALISENS: A Validated Innovative Multi-Sensor System for Cooperative Automated Driving—0
Vectorized Representation Dreamer (VRD): Dreaming-Assisted Multi-Agent Motion-Forecasting—0
Vehicle Motion Forecasting using Prior Information and Semantic-assisted Occupancy Grid Maps—0
VN-Transformer: Rotation-Equivariant Attention for Vector Neurons—0
Where computer vision can aid physics: dynamic cloud motion forecasting from satellite images—0
WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting—0
Forecasting Future Videos from Novel Views via Disentangled 3D Scene Representation—0
TACO: Benchmarking Generalizable Bimanual Tool-ACtion-Object Understanding—0
Target-driven Self-Distillation for Partial Observed Trajectories Forecasting—0
Staged Contact-Aware Global Human Motion ForecastingCode0
Structured Prediction Helps 3D Human Motion ModellingCode0
Hierarchical Light Transformer Ensembles for Multimodal Trajectory ForecastingCode0
Generative Causal Representation Learning for Out-of-Distribution Motion ForecastingCode0
TrajFlow: A Generative Framework for Occupancy Density Estimation Using Normalizing FlowsCode0
ADM: Accelerated Diffusion Model via Estimated Priors for Robust Motion Prediction under UncertaintiesCode0
Deep Predictive Motion Tracking in Magnetic Resonance Imaging: Application to Fetal ImagingCode0
Application of Graph Convolutions in a Lightweight Model for Skeletal Human Motion ForecastingCode0
Using Motion Forecasting for Behavior-Based Virtual Reality (VR) AuthenticationCode0
Argoverse: 3D Tracking and Forecasting with Rich MapsCode0
Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction RepresentationsCode0
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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