Translator Disclaimer
9 August 2018 A lane detection system based on TDA2EG
Author Affiliations +
Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 1080615 (2018) https://doi.org/10.1117/12.2503023
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China
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.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chenhao Yang, Zhiwei He, Jiye Huang, and Zhu Li "A lane detection system based on TDA2EG", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 1080615 (9 August 2018); https://doi.org/10.1117/12.2503023
PROCEEDINGS
7 PAGES


SHARE
Advertisement
Advertisement
Back to Top