Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)

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A Research of Vision-Based Assistance Navigation Method for Visually Impaired People

Authors
Yibo Ding1, Jeffrey Ma2, *, Xinming Wu3
1The College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
2University of Michigan-Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai, China
3College of Mechanical Engineering, Tianjin University of Science and Technology, Tianjin, China
*Corresponding author. Email: jeffreygoodgood@sjtu.edu.cn
Corresponding Author
Jeffrey Ma
Available Online 31 August 2025.
DOI
10.2991/978-94-6463-821-9_26How to use a DOI?
Keywords
Sensor; Navigation; Image Recognition
Abstract

With the rapid development of technology, life and travel have become more convenient. However, current navigation systems have limited functions, and visually impaired people still face difficulties in traveling. To address this issue and provide a convenient living environment for the visually impaired, this study proposes a navigation system for the visually impaired based on binocular cameras, aiming to enhance their independent travel ability and safety in complex environments such as indoor shopping malls and streets. This system integrates binocular camera visual input, text recognition technology, and path planning algorithms, enabling it to perceive the surrounding environment and provide precise direction guidance. By processing visual information, the system can recognize text information in the environment and associate it with the navigation system, providing clear feedback to help the visually impaired walk safely in complex environments. With the continuous advancement of artificial intelligence and smart hardware technology, this system is expected to be applied in more fields such as tourism and transportation, making greater contributions to improving the quality of life for the visually impaired.

Copyright
© 2025 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 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)
Series
Advances in Engineering Research
Publication Date
31 August 2025
ISBN
978-94-6463-821-9
ISSN
2352-5401
DOI
10.2991/978-94-6463-821-9_26How to use a DOI?
Copyright
© 2025 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  - Yibo Ding
AU  - Jeffrey Ma
AU  - Xinming Wu
PY  - 2025
DA  - 2025/08/31
TI  - A Research of Vision-Based Assistance Navigation Method for Visually Impaired People
BT  - Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)
PB  - Atlantis Press
SP  - 232
EP  - 239
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-821-9_26
DO  - 10.2991/978-94-6463-821-9_26
ID  - Ding2025
ER  -