Issue |
E3S Web Conf.
Volume 248, 2021
2021 3rd International Conference on Civil Architecture and Energy Science (CAES 2021)
|
|
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Article Number | 02046 | |
Number of page(s) | 5 | |
Section | Energy Technology Application and Energy Saving and Emission Reduction Research and Development | |
DOI | https://doi.org/10.1051/e3sconf/202124802046 | |
Published online | 12 April 2021 |
Unmanned parking method based on cloud platform
1 School of Automation, Wuhan University of Technology, 122 Luoshi Road, Hongshan District, Wuhan, China
2 School of Automation, Wuhan University of Technology, 122 Luoshi Road, Hongshan District, Wuhan, China
3 School of Automation, Wuhan University of Technology, 122 Luoshi Road, Hongshan District, Wuhan, China
4 School of Automation, Wuhan University of Technology, 122 Luoshi Road, Hongshan District, Wuhan, China
* School of Automation, Wuhan University of Technology, 122 Luoshi Road, Hongshan District, Wuhan, China
* Corresponding author: yx_auto@whut.edu.cn
With the intelligent development of automobile driving, automatic parking technology is widely concerned by relevant technicians at home and abroad. Automatic parking technology is a method that can realize automatic parking in and out of parking Spaces without manual intervention. At present, automatic parking system has been equipped and used in many models, but there are many problems such as low parking accuracy and unable to effectively identify irregular parking Spaces. In order to solve the above problems, this article is based on a cloud platform developed a driverless car parking method, through the cloud server, GPS (Global Positioning System) and inertial navigation. It can according to the parking information and real-time Positioning planning adjustment path of the vehicle, and controls the complete vehicle posture adjustment, so as to improve the accuracy of parking and parking intelligent identification accuracy and ensure the safety and efficiency in the process of path planning. The effectiveness of the method is verified by simulation experiments with MATLAB software, which can be demonstrated by data.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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