Research on Collaborative Object Detection and Recognition of Autonomous Underwater Vehicle Based on YOLO Algorithm

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 海洋信息技术装备中心

	Research on Collaborative Object Detection and Recognition of Autonomous Underwater Vehicle Based on YOLO Algorithm
	Tang LS(唐磊生)3,4; Xu HL(徐红丽)2; Wu H(吴函)4; Tan DX(谭东旭)1; Gao L(高雷)4
	2021
会议日期	May 22-24, 2021
会议地点	Kunming, China
关键词	Underwater Vehicle YOLO Neural Network Real-time Detection Target Recognition
页码	1664-1669
英文摘要	Autonomous underwater vehicle (AUV) is an important tool for human to explore and research marine resources. Due to the influence of underwater environment, it is impossible to realize the rapid detection and recognition of AUV and the recognition of cooperative objects. To solve this problem, underwater light vision and underwater image enhancement technology are proposed to realize the rapid detection and recognition of underwater vehicles, so as to realize the recognition of cooperative objects. In this paper, YOLO algorithm which has a good effect on target detection precision and the recognition speed is used to recognize the underwater vehicle on the Yolo network. For the original data set, histogram equalization and CLAHE algorithm are used to enhance the image. They are respectively loaded into the same training model and trained on the yolov2 and yolov3 networks. The analysis of the experimental results shows that the underwater image enhancement technology based on the YOLOv3 network and the CLAHE algorithm can meet the requirements of rapid recognition for underwater vehicle detection and recognition.
产权排序	1
会议录	2021 33rd Chinese Control and Decision Conference (CCDC)
会议录出版者	IEEE
会议录出版地	New York
语种	英语
ISSN号	1948-9447
ISBN号	978-1-6654-4089-9
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/29956]
专题	沈阳自动化研究所_海洋信息技术装备中心
通讯作者	Tang LS(唐磊生)
作者单位	1.School of Automation and Electrical Engineering, Shenyang Ligong University, Shenyang, China 2.Northeastern University, Shenyang, China 3.Information & Control Engineering Faculty, Shenyang Jianzhu University, Shenyang, China 4.Shenyang Institute of Automation, Chinese Academy of Science, Shenyang, China
推荐引用方式 GB/T 7714	Tang LS,Xu HL,Wu H,et al. Research on Collaborative Object Detection and Recognition of Autonomous Underwater Vehicle Based on YOLO Algorithm[C]. 见:. Kunming, China. May 22-24, 2021.