SIA OpenIR  > 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
Feng TW(冯天伟)1; Xiong JF(熊俊峰)2; Xiao JC(肖金超)2; Liu, Jinqing1; He YQ(何玉庆)1,3
Department广州中国科学院沈阳自动化研究所分所
Conference Name16th IEEE International Conference on Mechatronics and Automation, ICMA 2019
Conference DateAugust 4-7, 2019
Conference PlaceTianjin, China
Source PublicationProceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019
PublisherIEEE
Publication PlaceNew York
2019
Pages2546-2551
Indexed ByEI
EI Accession number20193907463678
Contribution Rank2
ISBN978-1-7281-1698-3
KeywordUnmanned surface vehicle HSV color space Morphology Riverbank line detection.
AbstractAccurate 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.
Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/25661
Collection广州中国科学院沈阳自动化研究所分所
Corresponding AuthorFeng TW(冯天伟)
Affiliation1.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
2.Guangzhou, Chinese Academy of Sciences, Shenyang Institute of Automation, Guangzhou, Guangdong Province, China
3.Shenyang Institute of Automation, Chinese Academy of Sciences Shenyang, Liaoning Province, China
Recommended Citation
GB/T 7714
Feng TW,Xiong JF,Xiao JC,et al. Real-time Riverbank Line Detection for USV System[C]. New York:IEEE,2019:2546-2551.
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