Title: A Combined Approach to Single-Camera-Based Lane Detection in Driverless Navigation
Author(s): Xin Zhang, Maolin Chen, Xingqun Zhan
Published in: Proceedings of IEEE/ION PLANS 2018
April 23 - 26, 2018
Hyatt Regency Hotel
Monterey, CA
Pages: 1042 - 1046
Cite this article: Zhang, Xin, Chen, Maolin, Zhan, Xingqun, "A Combined Approach to Single-Camera-Based Lane Detection in Driverless Navigation," Proceedings of IEEE/ION PLANS 2018, Monterey, CA, April 2018, pp. 1042-1046.
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Abstract: A combined approach is presented with real-world examples to illustrate how to detect lane lines under several road conditions in driverless navigation. This approach is designed for single-camera perception and is achieved using camera calibration, un-distortion, color thresholding, perspective transformation, pixel identification and ployfitting. Limiting factors such as illumination and radius of curvature of the testing road is considered. The results show that the method is effective in normal conditions but needs further improvement in extremely challenging environments.