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http://dx.doi.org/10.6109/jkiice.2016.20.1.142

Positioning Method Using a Vehicular Black-Box Camera and a 2D Barcode in an Indoor Parking Lot  

Song, Jihyun (Department of Electronic Engineering, Korea National University of Transportation)
Lee, Jae-sung (Department of Electronic Engineering, Korea National University of Transportation)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.20, no.1, 2016 , pp. 142-152 More about this Journal
Abstract
GPS is not able to be used for indoor positioning and currently most of techniques emerging to overcome the limit of GPS utilize private wireless networks. However, these methods require high costs for installation and maintenance, and they are inappropriate to be used in the place where precise positioning is needed as in indoor parking lots. This paper proposes a vehicular indoor positioning method based on QR-code recognition. The method gets an absolute coordinate through QR-code scanning, and obtain the location (an relative coordinate) of a black-box camera using the tilt and roll angle correction through affine transformation, scale transformation, and trigonometric function. Using these information of an absolute coordinate and an relative one, the precise position of a car is estimated. As a result, average error of 13.79cm is achieved and it corresponds to just 27.6% error rate in contrast to 50cm error of the recent technique based on wireless networks.
Keywords
Indoor Positioning; Computer Vision; Pattern Recognition; Image Geometry; QR-code;
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