Proceedings of the 2023 International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2023)

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Unmanned Aerial Vehicle’s Obstacle Avoidance Research Based on Vision

Authors
Wenzhe Wang1, *
1School of Physics&Electronic Science, Changsha University of Science & Technology, Changsha, China
*Corresponding author. Email: wo22ne@stu.csust.edu.cn
Corresponding Author
Wenzhe Wang
Available Online 27 November 2023.
DOI
10.2991/978-94-6463-300-9_51How to use a DOI?
Keywords
unmanned aerial vehicle; Obstacle Avoidance; Obstacle Detection; Vision
Abstract

With the increasingly widespread application scenarios of drones, higher requirements have been put forward for the autonomous flight capability of drones. The autonomous obstacle avoidance technology of unmanned aerial vehicles plays an important role in various environments that are inconvenient for pilots to operate. With the rise of image recognition technology, visual sensors have become the mainstream choice for obstacle avoidance in unmanned aerial vehicles. There are currently many autonomous obstacle avoidance systems based on visual design, and the chosen solutions are too broad. This article aims to introduce the current development status of visual obstacle avoidance, categorizing obstacle avoidance schemes based on the number of cameras used, and helping researchers choose appropriate obstacle avoidance schemes. This article provides a certain degree of analysis of obstacle recognition and avoidance solutions for drone obstacle avoidance, as well as the problems faced in development and possible future solutions. Visual obstacle avoidance technology still needs to overcome many obstacles.

Copyright
© 2023 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 2023 International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2023)
Series
Advances in Computer Science Research
Publication Date
27 November 2023
ISBN
10.2991/978-94-6463-300-9_51
ISSN
2352-538X
DOI
10.2991/978-94-6463-300-9_51How to use a DOI?
Copyright
© 2023 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  - Wenzhe Wang
PY  - 2023
DA  - 2023/11/27
TI  - Unmanned Aerial Vehicle’s Obstacle Avoidance Research Based on Vision
BT  - Proceedings of the 2023 International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2023)
PB  - Atlantis Press
SP  - 501
EP  - 508
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-300-9_51
DO  - 10.2991/978-94-6463-300-9_51
ID  - Wang2023
ER  -