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AVM 영상에서 강인한 주행차선 마킹 검출 방법

Title
AVM 영상에서 강인한 주행차선 마킹 검출 방법
Other Titles
Robust Ego-Lane Marking Detection Method in AVM Video
Author
김회율
Issue Date
2016-06
Publisher
대한전자공학회
Citation
2016년도 대한전자공학회 하계종합학술대회, page.904-907
Abstract
In this paper, we present a robust ego-lane detection method for various road environments. Conventional lane detection methods based on image processin are vulnerable to weather, traffic conditions and road markings whose width is similar to those of lane markings. In our proposed method, information obtained from AVM"s left and right images are utilized simultaneously with additionally processed filter response from specifically designed filter for lane detection. We confirmed experimentally that the proposed method efficiently detects lanes while rejecting other road markings.
URI
http://www.dbpia.co.kr/Journal/ArticleDetail/NODE06724560http://repository.hanyang.ac.kr/handle/20.500.11754/72025
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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