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Proceedings Paper

A lane detection system based on TDA2EG
Author(s): Chenhao Yang; Zhiwei He; Jiye Huang; Zhu Li
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Paper Abstract

Lane detection is one of the most important parts of ADAS system. This paper designs and implements an embedded system based on TDA2EG. A fast and effective lane detection algorithm is proposed to fit the embedded system. The algorithm was achieved through following steps: contrast enhancement, color space transformation, lane line feature extraction and matching, and least squares fit. Experimental results show that compared with the traditional edge detection method, this algorithm works better and at the same time can guarantee the accuracy and stability of the detection.

Paper Details

Date Published: 9 August 2018
PDF: 7 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 1080615 (9 August 2018); doi: 10.1117/12.2503023
Show Author Affiliations
Chenhao Yang, Hangzhou Dianzi Univ. (China)
Zhiwei He, Hangzhou Dianzi Univ. (China)
Jiye Huang, Hangzhou Dianzi Univ. (China)
Zhu Li, Hangzhou Dianzi Univ. (China)


Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

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