A Robust Visual Person-Following Approach for Mobile Robots in Disturbing Environments

Author:

Pang LeiORCID,Cao ZhiqiangORCID,Yu JunzhiORCID,Guan Peiyu,Chen XuechaoORCID,Zhang WeiminORCID

Funder

Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology

National Natural Science Foundation of China

Key Technology Research and Development Program of Shandong

Open Foundation of the State Key Laboratory of Management and Control for Complex Systems, CASIA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering,Computer Networks and Communications,Computer Science Applications,Information Systems

Cited by 13 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. An Universal Dynamic Model Predictive Control Framework for Quadruped Robot Locomotion;2023 IEEE International Conference on Robotics and Biomimetics (ROBIO);2023-12-04

2. A Collision-Free Pedestrian-Following System for Mobile Robots Base on Path Planning;2023 IEEE International Conference on Mechatronics and Automation (ICMA);2023-08-06

3. An improved deep network-based RGB-D semantic segmentation method for indoor scenes;International Journal of Machine Learning and Cybernetics;2023-08-02

4. Adaptive Online Steering Efficiency Coefficient Estimation for Enhanced Terrain Motion Control in Four-wheeled Skid-steering Mobile Robots;International Journal of Control, Automation and Systems;2023-08

5. Robots Autonomously Detecting People: A Multimodal Deep Contrastive Learning Method Robust to Intraclass Variations;IEEE Robotics and Automation Letters;2023-06

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