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Sensors 2018, 18(6), 1903;

A Robust Method for Detecting Parking Areas in Both Indoor and Outdoor Environments

Department of Control Science & Engineering, Tongji University, 4800 Cao’an Hwy, Shanghai 201804, China
Author to whom correspondence should be addressed.
Received: 19 April 2018 / Revised: 7 June 2018 / Accepted: 8 June 2018 / Published: 11 June 2018
(This article belongs to the Section Intelligent Sensors)
Full-Text   |   PDF [3075 KB, uploaded 11 June 2018]   |  


Although an automatic parking system has been installed in many vehicles recently, it is still hard for the system to confirm by itself whether a vacant parking area truly exists or not. In this paper, we introduced a robust vision-based vacancy parking area detecting method for both indoor and outdoor environments. The main contribution of this paper is given as follows. First, an automatic image stitching method is proposed. Secondly, the problem of environment illuminating change and line color difference is considered and solved. Thirdly, the proposed algorithm is insensitive to the shadow and scene diversity, which means the detecting result satisfies most of the environment. Finally, a vehicle model is considered for tracking and reconfirming the detecting results to eliminate most of the false positives. View Full-Text
Keywords: image mosaic; computer vision; parking area detection image mosaic; computer vision; parking area detection

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Zong, W.; Chen, Q. A Robust Method for Detecting Parking Areas in Both Indoor and Outdoor Environments. Sensors 2018, 18, 1903.

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