Positioning data acquisition method and system

Abstract

The invention provides a positioning data acquisition method and system. The positioning data acquisition method comprises a map generation mode or a task mode; in the map generation mode, an acquisition platform performs multi-sensor synchronous mapping and positioning according to manual control of a user; according to the established map, the acquisition platform performs map data optimizationpost-processing and map data storage and uploading; in the task mode, according to the map of the current area selected by the user, a mark starting position in the map is selected to assist system initialization; after initialization is completed, the acquisition platform determines the position of the acquisition platform through a multi-sensor fusion positioning algorithm; after initializationis completed, the user inputs a planned target path point to the acquisition platform. According to the invention, the multi-sensor positioning algorithm based on map optimization is used to improve the positioning robustness of the unmanned acquisition platform in a complex environment, so that the data acquisition platform can still perform robust positioning in a complex scene without failure.

Description

technical field [0001] The present invention relates to the technical field of positioning, in particular to a method and system for collecting positioning data. Background technique [0002] With the development of technology and the increase of application requirements, many new positioning technologies are also born. Among the many emerging positioning methods and means under research, the research on modern new positioning technologies such as 5G positioning, Bluetooth / WiFi fingerprint positioning, and visual location recognition requires a large amount of data collection work and actual positioning truth. [0003] However, the actual data collection process often faces two challenges. One is that the amount of collected data is large, and manual collection often requires a lot of labor costs. Secondly, it is difficult to determine the true value of reference positioning. Especially in complex scenarios, positioning equipment is faced with challenges such as complex e...

AI Technical Summary

Problems solved by technology

[0003] However, the actual data collection process often faces two challenges

One is that the amount of collected data is large, and manual collection often requires a lot of labor costs

Secondly, it is difficult to determine the true value of reference positioning

Especially in complex scenarios, positioning equipment is faced with challenges such as complex electromagnetic environment and changes in light intensity, resulting in poor accuracy of positioning results, unable to provide reference positioning true value for the researched method

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