SOTAVerified

Trajectory Forecasting

Trajectory forecasting is a sequential prediction task, where a forecasting model predicts future trajectories of all moving agents (humans, vehicles, etc.) in a scene, based on their past trajectories and/or the scene context.

(Illustrative figure from Social NCE: Contrastive Learning of Socially-aware Motion Representations)

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–175 of 187 papers

TitleStatusHype
It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory PredictionCode1
EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning—0
Inverting the Pose Forecasting Pipeline with SPF2: Sequential Pointcloud Forecasting for Sequential Pose Forecasting—0
Transformer Networks for Trajectory ForecastingCode1
PTP: Parallelized Tracking and Prediction with Graph Neural Networks and Diversity Sampling—0
Ambiguity in Sequential Data: Predicting Uncertain Futures with Recurrent Models—0
Diverse and Admissible Trajectory Forecasting through Multimodal Context UnderstandingCode1
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory PredictionCode1
Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous DataCode1
Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based PlansCode1
The Garden of Forking Paths: Towards Multi-Future Trajectory PredictionCode1
Argoverse: 3D Tracking and Forecasting with Rich MapsCode0
Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision—0
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data—0
Multi-Head Attention for Multi-Modal Joint Vehicle Motion Forecasting—0
Multiple Object Forecasting: Predicting Future Object Locations in Diverse EnvironmentsCode0
Shape and Time Distortion Loss for Training Deep Time Series Forecasting ModelsCode1
Real Time Trajectory Prediction Using Deep Conditional Generative ModelsCode0
Diverse Trajectory Forecasting with Determinantal Point Processes—0
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks—0
Scene Induced Multi-Modal Trajectory Forecasting via Planning—0
Forecasting Pedestrian Trajectory with Machine-Annotated Training DataCode0
Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANsCode0
Peeking into the Future: Predicting Future Person Activities and Locations in VideosCode1
Data-Driven Vehicle Trajectory Forecasting—0
Show:102550
← PrevPage 7 of 8Next →

No leaderboard results yet.