Social Force Embedded Mixed Graph Convolutional Network for Multi-class Trajectory Prediction-Reference-Cited by-同舟云学术

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Social Force Embedded Mixed Graph Convolutional Network for Multi-class Trajectory Prediction

Published:2024 Issue: Volume: Page:1-11
ISSN:2379-8904
Container-title:IEEE Transactions on Intelligent Vehicles
language:
Short-container-title:IEEE Trans. Intell. Veh.

Author:

Du Quancheng¹^ORCID,Wang Xiao²^ORCID,Yin Shouguo²,Li Lingxi³^ORCID,Ning Huansheng¹^ORCID

Affiliation:

1. School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China

2. School of Artificial Intelligence, Anhui University, Hefei, China

3. School of Electrical and Computer Engineering, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7274857/7448921/10415371.pdf?arnumber=10415371

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Rethinking convolutional neural networks for trajectory refinement;Pattern Recognition;2025-01

2. D-PBS: Dueling Priority-Based Search for Multiple Nonholonomic Robots Motion Planning in Congested Environments;IEEE Robotics and Automation Letters;2024-07

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