An improved lane detection algorithm and the definition of the error rate standard

2 June 2012 An improved lane detection algorithm and the definition of the error rate standard

Chung-Hsien Yu, Chung-Yen Su

Proceedings Volume 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012); 83341H (2012) https://doi.org/10.1117/12.946608
Event: Fourth International Conference on Digital Image Processing (ICDIP 2012), 2012, Kuala Lumpur, Malaysia

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.

Citation Download Citation

Chung-Hsien Yu and Chung-Yen Su "An improved lane detection algorithm and the definition of the error rate standard", Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83341H (2 June 2012); https://doi.org/10.1117/12.946608

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