Real-time Riverbank Line Detection for USV System

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 广州中国科学院沈阳自动化研究所分所

	Real-time Riverbank Line Detection for USV System
	He YQ(何玉庆)1,3 ; Liu, Jinqing 3; Xiao JC(肖金超)2 ; Xiong JF(熊俊峰)2 ; Feng TW(冯天伟)3
	2019
会议日期	August 4-7, 2019
会议地点	Tianjin, China
关键词	Unmanned surface vehicle HSV color space Morphology Riverbank line detection.
页码	2546-2551
英文摘要	Accurate and quick riverbank line detection plays an import role in extracting the region of interest (ROI) for an unmanned surface vehicle (USV). Because of the riverbank line can be used for USV obstacle detection, visual navigation, motion state estimation. Different from the sea line detection, the riverbank line detection is usually affected by water waves, reflection and inverted image, so the background of land river riverbank line detection are more complex and diversified. In this paper, a robust morphological riverbank line method to a different environment is presented. This method includes following steps: First, image pre-processing (Resize, Gaussian blue, Map RGB colour to HSV space); Then, the value channel was operated by the morphological gradient to highlight the edge; subsequently, segmentation of watershed algorithm; finally extracting the riverbank line in classical Sobel operator. Experiment result proves that our morphological approach can boost efficiency and performance significantly in multiple and complex environments.
产权排序	2
会议录	Proceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019
会议录出版者	IEEE
会议录出版地	New York
语种	英语
ISBN号	978-1-7281-1698-3
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/25661]
专题	沈阳自动化研究所_广州中国科学院沈阳自动化研究所分所
通讯作者	Feng TW(冯天伟)
作者单位	1.Shenyang Institute of Automation, Chinese Academy of Sciences Shenyang, Liaoning Province, China 2.Guangzhou, Chinese Academy of Sciences, Shenyang Institute of Automation, Guangzhou, Guangdong Province, China 3.Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Provincial Engineering Technology Research Center of Photoelectric Sensing Application, Fujian Normal University, Fuzhou 350007, China
推荐引用方式 GB/T 7714	He YQ,Liu, Jinqing,Xiao JC,et al. Real-time Riverbank Line Detection for USV System[C]. 见:. Tianjin, China. August 4-7, 2019.