Abstract
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.
Highlights
AIn outdoor environment, GPS, the most successful and widely used positioning technique, may satisfy most needs of its users[1,2]
A comparison experiment is done at the same underground garage, and experiment effect is shown in Table 2 and Table 3
We propose an efficient and accurate vehicle positioning method
Summary
AIn outdoor environment, GPS, the most successful and widely used positioning technique, may satisfy most needs of its users[1,2]. GPS positioning technique is not applicable in underground garages[3,4].What’s more, Bluetooth Low Energy (BLE), a new bluetooth technology, has many advantages: low power consumption, low time delay and low handling capacity. One button battery may work for years in a row For this reason, BLE has become the first choice among short distance wireless communication techniques for smart mobile terminal, attracting the attention of the business circles and research scholars. RSSI-based rangebased positioning algorithm boasts higher precision than the positioning algorithm which needs no ranging. For this reason, BLE technique has become a research highlight concerning vehicle positioning in underground garages[5]
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