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Proceedings Paper

Horizontal line detection using genetic algorithm
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Paper Abstract

In mobile robots and autonomous vehicles, the information of depth and camera’s orientation are necessary for the applications of positioning and navigation. In this paper, we propose an appearance-assumption-based method for the detection of horizontal line (HL) or vanishing line (VL) on the image observed with a single omnidirectional camera. HL can provide the important information about depth and camera’s orientation for the single view estimation. The detection of HL is assumed as an optimization problem. The optimization of the line is adopted by the genetic algorithm (GA). We implement the real-time detection method of HL using GA. Therefore, the proposed method is evaluated on the multiple videos with the various environment. Experimental results demonstrate the efficiency of the proposed method.

Paper Details

Date Published: 22 March 2019
PDF: 5 pages
Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 110490S (22 March 2019); doi: 10.1117/12.2521591
Show Author Affiliations
Uuganbayar Ganbold, Iwate Univ. (Japan)
Takuya Akashi, Iwate Univ. (Japan)
Chao Zhang, Univ. of Fukui (Japan)
Hiroyuki Tomita, Suzuki Motor Corp. (Japan)
Hitoshi Kubota, Suzuki Motor Corp. (Japan)

Published in SPIE Proceedings Vol. 11049:
International Workshop on Advanced Image Technology (IWAIT) 2019
Qian Kemao; Kazuya Hayase; Phooi Yee Lau; Wen-Nung Lie; Yung-Lyul Lee; Sanun Srisuk; Lu Yu, Editor(s)

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