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Lane Recognition Algorithm using Lane Shape and Color Features for Vehicle Black Box

Title
Lane Recognition Algorithm using Lane Shape and Color Features for Vehicle Black Box
Author
임준홍
Keywords
Edge detection; Hough transform; HSV color space; Lane marking
Issue Date
2018-01
Publisher
IEEE
Citation
2018 International Conference on Electronics, Information, and Communication (ICEIC), Page. 771-772
Abstract
The various markings on the road may cause errors of lane detection and recognition in vehicle blackbox images. In this paper, we propose the recognition algorithm using HSV color space and lane shape feature to overcome this problem. We find white and yellow candidate lanes using HSV color space. The lane shape features of the candidate lane are evaluated. Then we use progressive probabilistic Hough(PPH) transform to determine final lane. The experimental results show that the proposed method has a good performance and low error rate than other methods. © 2018 Institute of Electronics and Information Engineers.
URI
https://ieeexplore.ieee.org/document/8330549https://repository.hanyang.ac.kr/handle/20.500.11754/105318
ISBN
978-153864754-7
DOI
10.23919/ELINFOCOM.2018.8330549
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
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