Positioning auxiliary map correction method

Abstract

The invention discloses a positioning auxiliary map correction method, which comprises the following steps: inputting an address, and obtaining initial map information of a preset area; enabling the system to call a third-party map for positioning, return longitude and latitude and display a positioning icon; judging whether icon positioning is deviated or not, if the map positioning is deviated,manually dragging the mouse by the user, and returning the latitude and longitude by the third-party map; enabling the system to store the address and the latitude and longitude into a database. Compared with the prior art, the method has the advantages that map data can be provided for a user practically when the user needs the map data, the timeliness and accuracy of searching can be improved, and the user experience of searching is improved.

Description

technical field [0001] The invention relates to the technical field of positioning, in particular to a positioning-assisted map correction method. Background technique [0002] At present, the electronic map has been able to provide users with a wide range of services and has become a more convenient travel tool for users. It can be realized not only through the webpage of the browser, but also through the map software installed in the mobile phone. The demand for map search, users can use the electronic map to achieve positioning or search for the destination path, and can also search for the specific location to be searched through the electronic map, etc. In the electronic map, the specific location to be searched can be a company, a bank , a specific shop, a bus stop, a school, and a specific street. In the prior art, the user generally can only search for the specific location of the target through a special electronic map website, or open a special map search app to q...

AI Technical Summary

Problems solved by technology

In the prior art, the user generally can only search for the specific location of the target through a special electronic map website, or open a special map search app to query the location, and the operation is cumbersome; in addition, the user sometimes searches for a restaurant or park online When searching, the search results often only reflect the webpage information related to restaurants or parks. In fact, the user needs to search for the location of the map, but it needs a second query to obtain it, which reduces the query efficiency and takes time and effort. At present, users generally Search for information such as restaurants or parks mentioned above within the scope of the city where you are by default. When entering a search query, you usually do not deliberately enter the name of the city where you are located. However, the search engine in the prior art only searches according to the relevance between the query word and the document. In the end, when providing search results, it often appears that the results provided to the user are not the specific location information of the user's city, but the specific location information of other cities or regions, which cannot well meet the user's potential map location query needs.

[0003] In addition to the above-mentioned obvious defects, the bigger problem of the existing technology is that none of the solutions are suitable for complex environments or complex applications, especially its positioning method depends on specific obstacles or markers, requiring the robot to start at a fixed location and angle when starting. Otherwise, a large-scale scanning is required to rebuild the map, which brings great inconvenience to practical applications