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Journal of Electronic Imaging • Open Access

Panorama parking assistant system with improved particle swarm optimization method
Author(s): Ruzhong Cheng; Yong Zhao; Zhichao Li; Weigang Jiang; Xin'an Wang; Yong Xu

Paper Abstract

A panorama parking assistant system (PPAS) for the automotive aftermarket together with a practical improved particle swarm optimization method (IPSO) are proposed in this paper. In the PPAS system, four fisheye cameras are installed in the vehicle with different views, and four channels of video frames captured by the cameras are processed as a 360-deg top-view image around the vehicle. Besides the embedded design of PPAS, the key problem for image distortion correction and mosaicking is the efficiency of parameter optimization in the process of camera calibration. In order to address this problem, an IPSO method is proposed. Compared with other parameter optimization methods, the proposed method allows a certain range of dynamic change for the intrinsic and extrinsic parameters, and can exploit only one reference image to complete all of the optimization; therefore, the efficiency of the whole camera calibration is increased. The PPAS is commercially available, and the IPSO method is a highly practical way to increase the efficiency of the installation and the calibration of PPAS in automobile 4S shops.

Paper Details

Date Published: 14 November 2013
PDF: 14 pages
J. Electron. Imag. 22(4) 041123 doi: 10.1117/1.JEI.22.4.041123
Published in: Journal of Electronic Imaging Volume 22, Issue 4
Show Author Affiliations
Ruzhong Cheng, Peking Univ. (China)
Yong Zhao, Peking Univ. (China)
Zhichao Li, Peking Univ. (China)
Weigang Jiang, Peking Univ. (China)
Xin'an Wang, Peking Univ. (China)
Yong Xu, Peking Univ. (China)

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