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

      research-article
      , *
      Sensors (Basel, Switzerland)
      MDPI
      image mosaic, computer vision, parking area detection

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          Abstract

          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.

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          Most cited references26

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          A survey of the hough transform

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            AprilTag: A robust and flexible visual fiducial system

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              LSD: a Line Segment Detector

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                11 June 2018
                June 2018
                : 18
                : 6
                : 1903
                Affiliations
                Department of Control Science & Engineering, Tongji University, 4800 Cao’an Hwy, Shanghai 201804, China; 1310480@ 123456tongji.edu.cn
                Author notes
                [* ]Correspondence: qjchen@ 123456tongji.edu.cn
                Author information
                https://orcid.org/0000-0002-8126-3552
                Article
                sensors-18-01903
                10.3390/s18061903
                6022088
                29891826
                6838d939-9a2d-406d-80d9-22c4bf88b125
                © 2018 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 19 April 2018
                : 08 June 2018
                Categories
                Article

                Biomedical engineering
                image mosaic,computer vision,parking area detection
                Biomedical engineering
                image mosaic, computer vision, parking area detection

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