SFMGNet: A Physics-based Neural Network To Predict Pedestrian Trajectories

6 February 2022

Papers citing "SFMGNet: A Physics-based Neural Network To Predict Pedestrian Trajectories"

6 / 6 papers shown

Title
Pedestrians and Robots: A Novel Dataset for Learning Distinct Social Navigation Forces Subham Agrawal Nico Ostermann-Myrau Nils Dengler Maren Bennewitz 31 0 0 05 Mar 2025
Evaluating Robot Influence on Pedestrian Behavior Models for Crowd Simulation and Benchmarking Subham Agrawal Nils Dengler Maren Bennewitz 13 1 0 23 Sep 2024
Human Trajectory Forecasting with Explainable Behavioral Uncertainty Jiangbei Yue Dinesh Manocha He-Nan Wang BDL 14 4 0 04 Jul 2023
Human Trajectory Prediction via Neural Social Physics Jiangbei Yue Dinesh Manocha He-Nan Wang AI4CE 11 97 0 21 Jul 2022
Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-based Approaches R. Korbmacher A. Tordeux 8 83 0 11 Nov 2021
Deep Social Force S. Kreiss 29 15 0 24 Sep 2021