DocumentCode :
1790259
Title :
Lane recognition algorithm using the Hough transform with applied accumulator cells in multi-channel ROI
Author :
Jae-Hyun Cho ; Young-Min Jang ; Sang-Bock Cho
Author_Institution :
Syst. on the Chip Lab., Univ. Of Ulsan, Ulsan, South Korea
fYear :
2014
fDate :
22-25 June 2014
Firstpage :
1
Lastpage :
3
Abstract :
With the development of the automotive industry, the intelligent vehicle technology is being developed. As the development of the automotive technology, the proportion of electrical and electronic system will be expanded to more than 50%. Particularly, LDWS (Lane Departure Warning System) technique is actively developing to generate a warning signal if the lane is separated. In this paper, we apply the Hough transform with optimized the accumulator cells in the four ROI in parallel and detects lanes with highly efficient. The result of verification of an algorithm showed a recognition rate of 94.3% on average. And Hough transform recognized only linear but the detection was successful in the curve.
Keywords :
Hough transforms; alarm systems; automobile industry; edge detection; intelligent transportation systems; secondary cells; Canny edge detection; Hough transform; LDWS technique; accumulator cells; automotive industry; electrical system; electronic system; intelligent vehicle technology; lane departure warning system; multichannel ROI; region of interest; warning signal; Algorithm design and analysis; Equations; Image edge detection; Mathematical model; Roads; Transforms; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics (ISCE 2014), The 18th IEEE International Symposium on
Conference_Location :
JeJu Island
Type :
conf
DOI :
10.1109/ISCE.2014.6884348
Filename :
6884348
Link To Document :
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