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JRM Vol.27 No.4 pp. 382-391
doi: 10.20965/jrm.2015.p0382
(2015)

Paper:

New Lane Detection Algorithm that Emulates Human Color Recognition

Hideyuki Saito, Kazuyuki Kobayashi, Kajiro Watanabe, and Tetsuo Kinoshita

Graduate School of Science and Engineering, Hosei University
3-7-2 Kajino-cho, Koganei, Tokyo 184-8584, Japan

Received:
January 20, 2015
Accepted:
June 10, 2015
Published:
August 20, 2015
Keywords:
mobile robot, lane detection, omnidirectional camera
Abstract
New lane detection algorithm

The perception of color by the human eye is different from that of cameras. This is due to the optical illusion and color constancy characteristics of human vision. In spite of these characteristics, people can drive cars without the danger of overturning. In this paper, we describe a new white lane detection algorithm for autonomous mobile robots, one based on a method similar to the color perception of human beings. In order to drive safely, we emulate human color perception to reduce the effects of lighting and shadow on the course. The validity of the proposed image compensation method is confirmed by actual while line detection.

Cite this article as:
H. Saito, K. Kobayashi, K. Watanabe, and T. Kinoshita, “New Lane Detection Algorithm that Emulates Human Color Recognition,” J. Robot. Mechatron., Vol.27, No.4, pp. 382-391, 2015.
Data files:
References
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Last updated on Nov. 15, 2018