Improved YOLOv5 lightweight binocular vision UAV obstacle avoidance algorithm based on Ghost module
Image Processing|更新时间:2024-02-21
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Improved YOLOv5 lightweight binocular vision UAV obstacle avoidance algorithm based on Ghost module
Chinese Journal of Liquid Crystals and DisplaysVol. 39, Issue 1, Pages: 111-119(2024)
作者机构:
1.中国科学院 长春光学精密机械与物理研究所, 吉林 长春 130033
2.中国科学院大学, 北京 100049
3.西南交通大学-利兹学院, 四川 成都 610097
作者简介:
基金信息:
National Natural Science Foundation of China(11372309;61304017);Jilin Province Science and Technology Development Program(20150204074GX;20160204010NY);Project of the Special Fund of High Technology for Scientific and Technological Cooperation Between Jilin Province and Chinese Academy of Sciences(2020SYHZ0031);Program of Youth Innovation Promotion Association CAS(2014192);Innovation Guidance Fund Project of Light Power Innovation Research Institute of Chinese Academy of Sciences(CXYJJ20-ZD-03)
JIA Yifan, CAO Tianyi, BAI Yue. Improved YOLOv5 lightweight binocular vision UAV obstacle avoidance algorithm based on Ghost module[J]. Chinese journal of liquid crystals and displays, 2024, 39(1): 111-119.
DOI:
JIA Yifan, CAO Tianyi, BAI Yue. Improved YOLOv5 lightweight binocular vision UAV obstacle avoidance algorithm based on Ghost module[J]. Chinese journal of liquid crystals and displays, 2024, 39(1): 111-119. DOI: 10.37188/CJLCD.2023-0069.
Improved YOLOv5 lightweight binocular vision UAV obstacle avoidance algorithm based on Ghost module