| Issue |
E3S Web Conf.
Volume 233, 2021
2020 2nd International Academic Exchange Conference on Science and Technology Innovation (IAECST 2020)
|
|
|---|---|---|
| Article Number | 01107 | |
| Number of page(s) | 5 | |
| Section | NESEE2020-New Energy Science and Environmental Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202123301107 | |
| Published online | 27 January 2021 | |
Research on Vehicle Positioning Method Based on Underground Garages
South China Institute of Software Engineering GU, Department of Electronic Studies, 510990, Guangzhou, China
With the continuous development of urbanization, the number of vehicles has increased year by year. In order to solve the hard-to-park problem, underground garages have been built on a large scale in many cities. However, due to the fact that GPS signals are kept out in the underground garage, GPS technology does not work. As a consequence, drivers cannot use navigation equipment to search for the parking space. In view of this, vehicle positioning technique for vehicles in underground garages has hold the public attention and relevant research has been done. In this paper, we propose an efficient method of accurate vehicle positioning. First, use the low-power Bluetooth device, then use Gaussian filter to optimize the RSSI ranging algorithm, and then use the maximum likelihood method to improve the three-loop positioning algorithm. Finally, a comparison is made between the algorithm and the traditional algorithm. A large number of experiments have proved that this method can be used to determine the positions of vehicles in underground garages.
© The Authors, published by EDP Sciences 2021
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