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

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Showing 151–175 of 187 papers

TitleStatusHype
Res-GCNN: A Lightweight Residual Graph Convolutional Neural Networks for Human Trajectory Forecasting—0
Flow-FL: Data-Driven Federated Learning for Spatio-Temporal Predictions in Multi-Robot Systems—0
Quantile Surfaces -- Generalizing Quantile Regression to Multivariate Targets—0
Risk-Sensitive Sequential Action Control with Multi-Modal Human Trajectory Forecasting for Safe Crowd-Robot Interaction—0
End-to-End 3D Multi-Object Tracking and Trajectory Forecasting—0
SMART: Simultaneous Multi-Agent Recurrent Trajectory Prediction—0
Physically constrained short-term vehicle trajectory forecasting with naive semantic maps—0
Imitative Non-Autoregressive Modeling for Trajectory Forecasting and Imputation—0
Robust Trajectory Forecasting for Multiple Intelligent Agents in Dynamic Scene—0
SimAug: Learning Robust Representations from 3D Simulation for Pedestrian Trajectory Prediction in Unseen CamerasCode0
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
PTP: Parallelized Tracking and Prediction with Graph Neural Networks and Diversity Sampling—0
Ambiguity in Sequential Data: Predicting Uncertain Futures with Recurrent Models—0
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
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
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