Intelligent parking big data cloud platform algorithm research and application

Xiaobo Yan; Xue Zou; Shan Cai; Lin Wang

doi:10.1117/12.3004139

11 October 2023 Intelligent parking big data cloud platform algorithm research and application

Xiaobo Yan, Xue Zou, Shan Cai, Lin Wang

Proceedings Volume 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023); 1280062 (2023) https://doi.org/10.1117/12.3004139
Event: 6th International Conference on Computer Information Science and Application Technology (CISAT 2023), 2023, Hangzhou, China

Abstract

With the rapid development of the domestic economy and the increasing living standards of the people, the ownership of private cars has increased explosively. Currently, urban traffic congestion and parking difficulty have gradually become a hot topic of research from all walks of life. Parking difficulty is mainly reflected on the following aspects: first, the existing parking spaces in cities are not effectively utilized; The second reason is that drivers cannot grasp relevant information about parking spaces near the ground in real time. This article conducts in-depth research on the issue of parking difficulty. Based on the existing security monitoring systems in parking lots, real-time detection of parking spaces status is conducted based on computer vision, machine learning, and other methods. By building a comprehensive, synthesize, and multi-dimensional parking resources dynamic sensing system, a smart parking big data cloud platform is constructed to achieve the effect of intelligent indoor parking lots management.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiaobo Yan, Xue Zou, Shan Cai, and Lin Wang "Intelligent parking big data cloud platform algorithm research and application", Proc. SPIE 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023), 1280062 (11 October 2023); https://doi.org/10.1117/12.3004139

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