Open Access
14 November 2013 Panorama parking assistant system with improved particle swarm optimization method
Ruzhong Cheng, Yong Zhao, Zhichao Li, Weigang Jiang, Xin'an Wang, Yong Xu
Author Affiliations +
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.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Ruzhong Cheng, Yong Zhao, Zhichao Li, Weigang Jiang, Xin'an Wang, and Yong Xu "Panorama parking assistant system with improved particle swarm optimization method," Journal of Electronic Imaging 22(4), 041123 (14 November 2013). https://doi.org/10.1117/1.JEI.22.4.041123
Published: 14 November 2013
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CITATIONS
Cited by 5 scholarly publications.
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KEYWORDS
Cameras

Calibration

Particle swarm optimization

Imaging systems

Particles

Panoramic photography

Image processing

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