Research on intelligent parking system algorithm based on camera calibration model

Issue title: Special Section: Applications of intelligent & fuzzy theory in engineering technologies and applied science

Guest editors: Stanley Lima and Álvaro Rocha

Article type: Research Article

Authors: Wang, D.^{a; *} | Chen, H.^a | Yang, H.^b | Xue, S.^a

Correspondence: [*] Corresponding author. Duo Wang, School of Highway, Chang’an University, Shaanxi, China. E-mail: tracywangduo@chd.edu.cn.

Abstract: This paper has analyzed the intelligent parking system algorithm based on camera calibration model. The camera model has been established, the initial calibration image collection is acquired by the initial image generation module, the calibration image is updated according to the output of the error analysis module, and the accuracy analysis module is used to determine whether the algorithm is over. Through the initialization, real-time updating and real-time arrangement of the time windows of the feasible paths, the collision-free path planning of multiple AGVs is realized. Experiments show that the proposed method has better robustness and flexibility and effectively improves the overall operation efficiency of intelligent parking system.

Keywords: Camera calibration model, intelligent parking, parking system algorithm, camera model

DOI: 10.3233/JIFS-169629

Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 2769-2775, 2018