Implementation of Lane Detection for Self-Driving Vehicles Using GPS 


Vol. 43,  No. 7, pp. 1152-1162, Jul.  2018
10.7840/kics.2018.43.7.1152


PDF
  Abstract

As interest in Self-driving has increased rapidly, various algorithms for lane detection assistances have been developed. This paper proposes a lane detection algorithm by comparing color-based lane detection algorithms and representative line extraction. Edge extraction and Gaussian filters are applied for the lane detection and a median filter is applied for image noise reduction. The detection accuracy is improved by extracting the region of interest for the image based on four pointers. Finally, a Hough transform and representative lane detection are applied to improve the accuracy of straight line detection. In particular, GPS can be assisted to recognize the position and speed of the self-driving vehicles and adaptively applied to the lane detection algorithm. Experimental results show that the proposed algorithm can detect lanes with high accuracy. The application of this algorithm to vehicle black boxes or autonomous driving will help prevent lane departure and reduce accident rates.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

H. Park, "Implementation of Lane Detection for Self-Driving Vehicles Using GPS," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 7, pp. 1152-1162, 2018. DOI: 10.7840/kics.2018.43.7.1152.

[ACM Style]

Hyunhee Park. 2018. Implementation of Lane Detection for Self-Driving Vehicles Using GPS. The Journal of Korean Institute of Communications and Information Sciences, 43, 7, (2018), 1152-1162. DOI: 10.7840/kics.2018.43.7.1152.

[KICS Style]

Hyunhee Park, "Implementation of Lane Detection for Self-Driving Vehicles Using GPS," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 7, pp. 1152-1162, 7. 2018. (https://doi.org/10.7840/kics.2018.43.7.1152)

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880