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Proceedings Paper

Estimating the coordinates of pillars and posts in the parking lots for intelligent parking assist system
Author(s): Jae Hyung Choi; Jung Gap Kuk; Young Il Kim; Nam Ik Cho
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Paper Abstract

This paper proposes an algorithm for the detection of pillars or posts in the video captured by a single camera implemented on the fore side of a room mirror in a car. The main purpose of this algorithm is to complement the weakness of current ultrasonic parking assist system, which does not well find the exact position of pillars or does not recognize narrow posts. The proposed algorithm is consisted of three steps: straight line detection, line tracking, and the estimation of 3D position of pillars. In the first step, the strong lines are found by the Hough transform. Second step is the combination of detection and tracking, and the third is the calculation of 3D position of the line by the analysis of trajectory of relative positions and the parameters of camera. Experiments on synthetic and real images show that the proposed method successfully locates and tracks the position of pillars, which helps the ultrasonic system to correctly locate the edges of pillars. It is believed that the proposed algorithm can also be employed as a basic element for vision based autonomous driving system.

Paper Details

Date Published: 2 February 2012
PDF: 8 pages
Proc. SPIE 8300, Image Processing: Machine Vision Applications V, 83000L (2 February 2012); doi: 10.1117/12.908333
Show Author Affiliations
Jae Hyung Choi, Seoul National Univ. (Korea, Republic of)
Jung Gap Kuk, Seoul National Univ. (Korea, Republic of)
Young Il Kim, Mando Corp. (Korea, Republic of)
Nam Ik Cho, Seoul National Univ. (Korea, Republic of)


Published in SPIE Proceedings Vol. 8300:
Image Processing: Machine Vision Applications V
Philip R. Bingham; Edmund Y. Lam, Editor(s)

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