| Issue |
MATEC Web Conf.
Volume 336, 2021
2020 2nd International Conference on Computer Science Communication and Network Security (CSCNS2020)
|
|
|---|---|---|
| Article Number | 07007 | |
| Number of page(s) | 8 | |
| Section | Intelligence Algorithms and Application | |
| DOI | https://doi.org/10.1051/matecconf/202133607007 | |
| Published online | 15 February 2021 | |
Research on obstacle avoidance technology of fixed wing formation based on improved artificial potential field method with stereo vision
1 Nanjing University of Aeronautics and Astronautics, Jiangsu Nanjing, China
* Corresponding author: 243584914@qq.com
To solve the problem that distributed fixed wing formation cannot know all the other aircraft states through the ground station and may collide, the improved artificial potential field method based on binocular stereo vision was proposed. This method makes the fixed wing aircraft not need to obtain the position information of other fixed wing aircraft from the ground station, but only need the binocular stereo vision module to obtain the relative position and relative speed information of other fixed wing aircraft. These two parameters are used to improve the traditional artificial potential field method to meet the requirements of distributed fixed wing formation flight. The experimental results show that the improved artificial potential field method improves the safety and reliability of distributed fixed wing formation flying.
© The Authors, published by EDP Sciences, 2021
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