Big data positioning verification system based on peripheral information

Abstract

The invention relates to the field of the Internet, in particular to a big data positioning verification system based on peripheral information. Useful text information and azimuth information are automatically extracted and recognized by collecting image information around a mobile terminal user and input into a cloud server, and corresponding position range information is matched in map data through the cloud server to assist in correcting positioning deviation. The super-large storage capacity and the super-large computing capacity of the existing camera device and the positioning module ofthe mobile terminal and the cloud service terminal are fully utilized; the accuracy of user positioning is greatly improved, and the navigation efficiency is guaranteed. The invention further provides an online car-hailing big data positioning and checking system based on the user peripheral information. The system comprises a vehicle-mounted terminal, a mobile terminal and a cloud server. User peripheral information is automatically verified through the cloud server, and verification results are sent to navigation positioning modules of the vehicle-mounted terminal and the mobile terminal atthe same time; the positioning deviation is corrected; and the travel and online car-hailing service efficiency is ensured.

Description

technical field [0001] The invention relates to the field of the Internet, in particular to a large data positioning verification system based on peripheral information. Background technique [0002] With the popularity of automobiles, people's travel is becoming more and more convenient. At present, the widespread application of navigation technology has brought great convenience to people who are not familiar with routes, and has accurate navigation and positioning technology; but the realization of this effect depends on Accurate navigation and positioning; the current positioning accuracy can meet people's needs most of the time; but people often encounter such problems, whether it is a vehicle-mounted or mobile client positioning module, there is a large deviation in positioning, making There is a big problem in the planning of the route, which delays the travel time. Especially for the popular application of online car-hailing, the use of positioning and navigation is...

AI Technical Summary

Problems solved by technology

[0002] With the popularity of automobiles, people's travel is becoming more and more convenient. At present, the widespread application of navigation technology has brought great convenience to people who are not familiar with routes, and has accurate navigation and positioning technology; but the realization of this effect depends on Accurate navigation and positioning; the current positioning accuracy can meet people's needs most of the time; but people often encounter such problems, whether it is a vehicle-mounted or mobile client positioning module, there is a large deviation in positioning, making There is a big problem in the planning of the route, which delays the travel time

Especially for the popular application of online car-hailing, the use of positioning and navigation is more extensive; more often, the starting position is determined by the passenger positioning of the handheld mobile device. When the mobile terminal passenger positioning is not accurate, it often takes more time to complete Pick up the car, the current solution to this situation is to manually correct the passenger according to the current navigation and positioning; manual correction is relatively easy for people who are familiar with the surrounding environment; but when the locator himself is completely unfamiliar with the surrounding environment When , it is difficult to achieve the purpose of positioning correction through manual correction; at this time, the only solution is to communicate with the driver through the phone, which is inefficient and depends on the driver's familiarity with the environment; therefore, positioning errors The resulting failure rate of orders is high

On the other hand, the current mobile smart devices generally have a camera device, which is convenient for collecting weekly environmental information; moreover, the current map data is quite rich and detailed, but the use of positioning surrounding information is not sufficient.

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