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dc.contributor.author김회율-
dc.date.accessioned2018-10-29T00:41:40Z-
dc.date.available2018-10-29T00:41:40Z-
dc.date.issued2016-09-
dc.identifier.citation2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC), Page. 452-454en_US
dc.identifier.isbn978-1-5090-1246-6-
dc.identifier.isbn978-1-5090-1245-9-
dc.identifier.urihttps://ieeexplore.ieee.org/document/7974615-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/76785-
dc.description.abstractThis paper proposes an algorithm for parking assist system. It detects a parking slot and estimates the pose of the parking slot. User touches the parking slot that wants to park at the display showing rear view. Then, an ROI is set based on the touch point. Parking slot is detected in the ROI using Hough transform. NCC (Normalized Cross Correlation) is used to get the pose of parking slot. It successfully detects parking slot and estimates the pose. But, there is a problem due to the scene change causing variation of parking slot at rear view when vehicle enters the parking slot. To solve this problem, the process of pose estimation is separated into phase 1 and phase 2 according to applied template shape.en_US
dc.language.isoenen_US
dc.publisherIEEE Beijing Sectionen_US
dc.subjectRear monocular cameraen_US
dc.subjectParking assist systemen_US
dc.subjectParking slot detectionen_US
dc.subjectParking slot pose estimationen_US
dc.titleA METHOD OF DETECTING PARKING SLOT IN HOUGH SPACE AND POSE ESTIMATION USING REAR VIEW IMAGE FOR AUTONOMOUS PARKING SYSTEMen_US
dc.typeArticleen_US
dc.relation.volumep.452-
dc.identifier.doi10.1109/ICNIDC.2016.7974615-
dc.relation.page452-454-
dc.contributor.googleauthorKim, Seung-Hyun-
dc.contributor.googleauthorKim, Joong-Sik-
dc.contributor.googleauthorKim, Whoi-Yul-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDEPARTMENT OF ELECTRONIC ENGINEERING-
dc.identifier.pidwykim-
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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