Proceedings of the 2023 International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2023)

<Previous Article In Volume
Next Article In Volume>

Comprehensive Analysis of Mobile Robot Target Tracking Technology Based on Computer Vision

Authors
Hanchen Liu1, *
1Chongqing University-University of Cincinnati Joint Co-op Institute, Chongqing University, Chongqing, 400000, China
*Corresponding author. Email: 20206151@cqu.edu.cn
Corresponding Author
Hanchen Liu
Available Online 14 February 2024.
DOI
10.2991/978-94-6463-370-2_10How to use a DOI?
Keywords
mobile robot; target tracking; computer vision; environment perception; local path planning
Abstract

With the rapid development of sensor technology and machine learning, the performance and function of robots have been continuously improved, and then they have been applied in many fields. In the research of tracking robots, computer vision technology can be used to identify and track objects, helping robots achieve accurate positioning and tracking. This paper makes a comprehensive analysis of the target tracking technology of mobile robot based on computer vision. Firstly, this paper discusses the background, working principle, and research status of robot target tracking technology based on computer vision. Secondly, the principle and application of visual sensors applied to target tracking are summarized, including monocular vision, multi-vision, and RGB-D. Finally, the local path tracking method of robot is summarized, which mainly introduces the working principle and research status of artificial potential field algorithm, reinforcement learning algorithm and dynamic window algorithm. The authors believe that computer vision tracking is an evolving field that continues to advance artificial intelligence through different methods and technologies. Future research will continue to explore more accurate methods, multi-modal information fusion, and cross-innovation with other fields, opening up broader possibilities for the application of computer vision.

Copyright
© 2024 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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2023 International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2023)
Series
Advances in Intelligent Systems Research
Publication Date
14 February 2024
ISBN
978-94-6463-370-2
ISSN
1951-6851
DOI
10.2991/978-94-6463-370-2_10How to use a DOI?
Copyright
© 2024 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  - Hanchen Liu
PY  - 2024
DA  - 2024/02/14
TI  - Comprehensive Analysis of Mobile Robot Target Tracking Technology Based on Computer Vision
BT  - Proceedings of the 2023 International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2023)
PB  - Atlantis Press
SP  - 85
EP  - 94
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-370-2_10
DO  - 10.2991/978-94-6463-370-2_10
ID  - Liu2024
ER  -