Share Email Print
cover

Proceedings Paper

An improved lane detection algorithm and the definition of the error rate standard
Author(s): Chung-Hsien Yu; Chung-Yen Su
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

In this paper, we propose a method to improve the problem that the assistant lane marks caused by pulse. We also define a method to distinguish the assistant lane marks' error rate objectively. To improve the problem, we mainly use the Sobel edge detection to replace the Canny edge detection. Also, we make use of the Gaussian filter to filter noise. Finally, we improve the ellipse ROI size in tracking part and the performance of the FPS (frame per second) from 32 to 39. In the past, we distinguished the assistant lane marks' error rate very subjectively. To avoid judging subjectively, we propose an objective method to define the assistant lane marks' error rate as a standard. We use the performance and the error rate to choose the ellipse ROI parameter.

Paper Details

Date Published: 2 June 2012
PDF: 5 pages
Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83341H (2 June 2012); doi: 10.1117/12.946608
Show Author Affiliations
Chung-Hsien Yu, National Taiwan Normal Univ. (Taiwan)
Chung-Yen Su, National Taiwan Normal Univ. (Taiwan)


Published in SPIE Proceedings Vol. 8334:
Fourth International Conference on Digital Image Processing (ICDIP 2012)
Mohamed Othman; Sukumar Senthilkumar; Xie Yi, Editor(s)

© SPIE. Terms of Use
Back to Top