Distance Measurement of Underwater Target Based on Stereo Vision
Li WT(李文涛); Lin S(林森); Tang YD(唐延东); Cong Y(丛杨)
2017
会议名称7th Annual IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (IEEE-CYBER 2017)
会议日期July 31 - August 4, 2017
会议地点Hawaii, USA
关键词stereo vision Remote Operated Vehicle distance measurement underwater interaction
页码97-102
通讯作者Lin S(林森)
中文摘要An underwater object location method based on binocular stereo vision and artificial auxiliary interaction is proposed. Firstly, the calibration principle and basic model of binocular stereo vision are given, and the relationship between binocular disparity and depth is deduced in detail. Then, a special underwater camera (Nano SeaCam) is used, and we can calibrate the camera directly underwater. After that, the parameters of the camera are obtained to rectify the underwater images. Further, according to the characteristics of underwater ROV (Remote Operated Vehicle), we use the method of artificial interaction to select the corresponding pixels of left and right view images, and then use the distance measurement algorithm to calculate the target distance. The experimental results show that this method can achieve the proper effect of measuring distance underwater, and the accuracy can meet the practical requirements, which is feasible and efficient.
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会议录7th Annual IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (IEEE-CYBER 2017)
会议录出版者IEEE
会议录出版地New York
语种英语
ISBN号978-1-5386-0489-2
内容类型会议论文
源URL[http://ir.sia.cn/handle/173321/21347]  
专题沈阳自动化研究所_机器人学研究室
作者单位1.School of Electronic and Information Engineering, Liaoning Technical University, Huludao, China
2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
推荐引用方式
GB/T 7714
Li WT,Lin S,Tang YD,et al. Distance Measurement of Underwater Target Based on Stereo Vision[C]. 见:7th Annual IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (IEEE-CYBER 2017). Hawaii, USA. July 31 - August 4, 2017.
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