Goal-CurveNet: A pedestrian trajectory prediction network using heterogeneous graph attention goal prediction and curve fitting-Reference-Cited by-同舟云学术

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Goal-CurveNet: A pedestrian trajectory prediction network using heterogeneous graph attention goal prediction and curve fitting

Published:2024-07 Issue: Volume:133 Page:108323
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Wang Xiangchen,Xin Yang ^ORCID,Zhou Dake^ORCID

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference38 articles.

1. Social LSTM: human trajectory prediction in crowded spaces;Alahi,2016

2. Social ways: learning multi-modal distributions of pedestrian trajectories with gans;Amirian,2019

3. NURBS-Python: an open-source object-oriented NURBS modeling framework in Python;Bingol;SoftwareX,2019

4. nuscenes: a multimodal dataset for autonomous driving;Caesar,2020

5. Human Trajectory Prediction via Counterfactual Analysis;Chen,2021

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