Vehicle-mounted auxiliary positioning system based on big data

Abstract

The invention relates to the field of the Internet, and particularly to a vehicle-mounted auxiliary positioning system based on big data. By collecting image information surrounding a vehicle, automatically extracting and recognizing useful text and orientation information, inputting the useful text and orientation information into a cloud server, and matching the corresponding position range information in the map data by the could server to assist in correcting the current positioning deviation, the effect of double verification of automatic positioning and environment matching is achieved.The above process is automatically completed by the system, having fast recognition speed and high verification reliability.

Description

technical field [0001] The invention relates to the field of the Internet, in particular to a vehicle-mounted auxiliary positioning system based on big data. Background technique [0002] With the popularization 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. With accurate navigation and positioning technology, even unfamiliar routes Users can also reach their destination smoothly under the guidance of navigation. But the realization of this effect depends on the accuracy of 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 or a mobile client positioning system when positioning There is a large deviation, which causes a big problem in the planning of the route and delays the travel time; even occasio...

AI Technical Summary

Problems solved by technology

But the realization of this effect depends on the accuracy of 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 or a mobile client positioning system when positioning There is a large deviation, which causes a big problem in the planning of the route and delays the travel time; there are even occasional inaccurate navigation and positioning that cause unnecessary traffic accidents.

The current solution to this situation is that the user manually corrects 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 , it is difficult to achieve the purpose of positioning correction through manual correction; this increases hidden dangers to travel safety and convenience

On the other hand, the current map data has reached a very rich and detailed level, but the use of positioning surrounding information is not sufficient

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