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확률적 허프 변환과 HSV 색 공간을 이용한 차선검출및 인식 알고리즘

Title
확률적 허프 변환과 HSV 색 공간을 이용한 차선검출및 인식 알고리즘
Other Titles
Lane Detection and Recognition Algorithm using Progressive Probabilistic Hough Transform and HSV Color Space
Author
임준홍
Issue Date
2017-11
Publisher
대한전자공학회
Citation
2017년도 대한전자공학회 정기총회 및 추계학술대회, Page. 595-598
Abstract
The lane keeping assist system (LKAS) can have errors by various displays on the road. In this paper, we propose the recognition algorithm using color and shape of the lane to overcome this problem. The proposed algorithm is divided into 3 different steps as follows; First, we find white, yellow and blue candidate lanes using HSV color space. Second, we exclude the non-lane from the candidate images using the shape feature of the lane. Third, we use progressive probabilistic Hough transform to determine final lane. The experimental results show that the proposed method has a good performance and low error rate compared to edge-detection methods.
URI
http://www.dbpia.co.kr/Journal/ArticleDetail/NODE07276385http://repository.hanyang.ac.kr/handle/20.500.11754/103725
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
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