Proceedings of the 2025 International Conference on Electronics, Electrical and Grid Technology (ICEEGT 2025)

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Research on People Following Technology Based on Multiple Sensors

Authors
Zhongyang Li1, *
1Department of Mechanical and Aerospace Engineering, Monash University, Wellington Road, Clayton, Victoria, 3800, Australia
*Corresponding author. Email: ryleli@asu.edu.pl
Corresponding Author
Zhongyang Li
Available Online 18 February 2026.
DOI
10.2991/978-94-6463-986-5_38How to use a DOI?
Keywords
Multi-sensor Fusion; Person-following Technology; Target Recognition; Path Planning; Obstacle Avoidance
Abstract

With the continuous expansion of application scenarios for service robots, person-following technology has become a key capability for enabling human-robot interaction and intelligent control. This paper focuses on a multi-sensor fusion-based person-following system and systematically reviews its core technologies, including target recognition, feature extraction, path planning, and obstacle avoidance. First, the features of typical followable targets are categorized into five aspects: visual appearance, geometric structure, motion trajectory, multi-modal perception, and pose estimation. Representative methods such as deep learning, skeleton extraction, and trajectory prediction are discussed. Next, the mainstream path planning strategies and obstacle avoidance mechanisms are reviewed. Finally, an analysis of existing prototype systems reveals that current person-following technology still faces challenges in occlusion handling, real-time embedded computing, and ensuring user experience and comfort.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 International Conference on Electronics, Electrical and Grid Technology (ICEEGT 2025)
Series
Advances in Engineering Research
Publication Date
18 February 2026
ISBN
978-94-6463-986-5
ISSN
2352-5401
DOI
10.2991/978-94-6463-986-5_38How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Zhongyang Li
PY  - 2026
DA  - 2026/02/18
TI  - Research on People Following Technology Based on Multiple Sensors
BT  - Proceedings of the 2025 International Conference on Electronics, Electrical and Grid Technology (ICEEGT 2025)
PB  - Atlantis Press
SP  - 367
EP  - 377
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-986-5_38
DO  - 10.2991/978-94-6463-986-5_38
ID  - Li2026
ER  -