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

Chung Hsien Yu; Chung Yen Su

doi:10.1117/12.946608

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

Chung Hsien Yu, Chung Yen Su

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

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.

Original language	English
Title of host publication	Fourth International Conference on Digital Image Processing, ICDIP 2012
Volume	8334
DOIs	https://doi.org/10.1117/12.946608
Publication status	Published - 2012
Event	4th International Conference on Digital Image Processing, ICDIP 2012 - Kuala Lumpur, Malaysia Duration: 2012 Apr 7 → 2012 Apr 8

Other

Other	4th International Conference on Digital Image Processing, ICDIP 2012
Country	Malaysia
City	Kuala Lumpur
Period	2012/04/07 → 2012/04/08

Keywords

Edge detection
Hough transform
Lane detection
Region of interest (ROI)

ASJC Scopus subject areas

Applied Mathematics
Computer Science Applications
Electrical and Electronic Engineering
Electronic, Optical and Magnetic Materials
Condensed Matter Physics

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title = "An improved lane detection algorithm and the definition of the error rate standard",

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.",

keywords = "Edge detection, Hough transform, Lane detection, Region of interest (ROI)",

author = "Yu, {Chung Hsien} and Su, {Chung Yen}",

year = "2012",

doi = "10.1117/12.946608",

language = "English",

isbn = "9780819489913",

volume = "8334",

booktitle = "Fourth International Conference on Digital Image Processing, ICDIP 2012",

note = "4th International Conference on Digital Image Processing, ICDIP 2012 ; Conference date: 07-04-2012 Through 08-04-2012",

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TY - GEN

T1 - An improved lane detection algorithm and the definition of the error rate standard

AU - Yu, Chung Hsien

AU - Su, Chung Yen

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

KW - Edge detection

KW - Hough transform

KW - Lane detection

KW - Region of interest (ROI)

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U2 - 10.1117/12.946608

DO - 10.1117/12.946608

M3 - Conference contribution

AN - SCOPUS:84874728266

SN - 9780819489913

VL - 8334

BT - Fourth International Conference on Digital Image Processing, ICDIP 2012

T2 - 4th International Conference on Digital Image Processing, ICDIP 2012

Y2 - 7 April 2012 through 8 April 2012

ER -

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

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