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Empty Parking Space Detection Method using Around View Monitoring System
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어라운드 뷰 모니터링 시스템에서 주차 가능 영역 탐색방법

논문 기본 정보

Type
Academic journal
Author
Jae-Seol Lee (충북대학교) Seok-Cheol Kee (충북대학교)
Journal
Institute of Control, Robotics and Systems Journal of Institute of Control, Robotics and Systems Vol.23 No.6 KCI Accredited Journals SCOPUS
Published
2017.6
Pages
455 - 461 (7page)
DOI
10.5302/J.ICROS.2017.17.0043

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Empty Parking Space Detection Method using Around View Monitoring System
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To develop an autonomous valet parking system, the empty parking space detection method should guide the vehicle’s direction. In this paper, we propose an empty parking space detection method based on the around-view monitoring system. The proposed method can detect available parking spaces by creating a map of parking line features. First, we create a map of parking line features using line filters and detect parking line candidates using the Hough transform on the feature map. Since there exist valid and invalid lines among the parking line candidates, we analyze the lines’ density and connectivity to select valid lines. Several valid lines can be represented as a one-line model created by clustering. Using the features of the parking area (width and height of the parking space) among the line models can remove useless lines and extract the sideline of the parking space. A feature map of the parking lines is used to ensure the robustness of the sideline model. Finally, we can detect the parking space using sideline models. The proposed method was evaluated with 634 images logged in a real parking lot.
#ADAS #parking space detection #line detection #around view monitoring #autonomous valet parking

Contents

Abstract
I. 서론
II. 주차 가능영역 탐색 방법
III. 실험결과
V. 결론
REFERENCES

References (14)

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Nissan - Around View Monitor System, http://www.nissan-global.com/EN/TECHNOLOGY/OVERVIEW/avm.html. BMW - Surround View, http://www.bmw.com/com/en/insights/technology/connecteddrive/2010/convenience/parking/surround_view_information.html. Honda - Multi-View Camera System, http://world.honda.com/news/2008/4080918Multi-ViewCamera-System/. M. Bertozzi, A. Broggi, M. Cellario, A. Fascioli, P. Lombardi, and M. Porta, “Artificial vision in road vehicles,” Proc., IEEE, 2002, pp. 1258-1271. B. Leibe, N. Cornelis, K.Cornelis, and L. Van Gool, “Dynamic 3D scene analysis from a moving vehicle,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR’07), pp. 1-8, 2007.

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