Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)

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Fire Recognition and Path Planning for Fire Fighting Robots Based on Machine Vision Slam Technology

Authors
Lequan Li1, *
1School of Automation, Nanjing Institute of Technology, Nanjing, 211167, China
*Corresponding author. Email: x00203211215@njit.edu.cn
Corresponding Author
Lequan Li
Available Online 23 September 2024.
DOI
10.2991/978-94-6463-512-6_13How to use a DOI?
Keywords
Machine vision; Machine learning; SLAM; Fire robot
Abstract

Firefighting robots, as an important part of firefighting, make great contributions to the life safety and economic security of the society. Among the firefighting robots, the firefighting robots utilizing machine vision slam technology are the most promising. This paper describes the main algorithms of today’s firefighting robots based on machine vision slam technology. The fire recognition technology mainly utilizes the You Only Look Once(YOLO) algorithm, with YOLOv5 and YOLOv8 as the main algorithms. The main algorithms for path planning techniques are A-star(A*) algorithm and Ant Colony Optimization respectively. For these main algorithms, the article evaluates their advantages and disadvantages, and proposes directions that can be improved. Then, the article introduces two feasible solutions based on transformer model for visual domain and visual Simultaneous Localization and Mapping(SLAM) domain respectively, which have been verified with good results in other domains. Finally, this paper is summarized to evaluate the algorithms and algorithm optimization that have been studied.

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.

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Volume Title
Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)
Series
Advances in Intelligent Systems Research
Publication Date
23 September 2024
ISBN
978-94-6463-512-6
ISSN
1951-6851
DOI
10.2991/978-94-6463-512-6_13How 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  - Lequan Li
PY  - 2024
DA  - 2024/09/23
TI  - Fire Recognition and Path Planning for Fire Fighting Robots Based on Machine Vision Slam Technology
BT  - Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)
PB  - Atlantis Press
SP  - 106
EP  - 114
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-512-6_13
DO  - 10.2991/978-94-6463-512-6_13
ID  - Li2024
ER  -