High-precision map precision detection method based on projection transformation

Abstract

The invention relates to a high-precision map precision detection method based on projection transformation. The method comprises the following steps: step 1, performing visualization processing on a high-precision map constructed based on a UTM projection method after format conversion; 2, collecting centimeter-level vehicle high-precision positioning information, namely real-time longitude and latitude information of the vehicle, through detection equipment carried by the vehicle; 3, projecting real-time longitude and latitude information of the vehicle to a rectangular plane coordinate system through UTM, and converting the real-time longitude and latitude information into local coordinate information; 4, acquiring a real-time track of the current vehicle running on the rectangular plane coordinate system based on the local coordinate information; 5, visualizing the real-time track of the vehicle and then matching with the high-precision map to detect the precision of the high-precision map. Compared with the prior art, the invention has the advantages that the precision of the high-precision map can be detected more clearly and visually, and the vehicle positioning precision is improved.

Description

Technical field [0001] The present invention relates to the field of high-precision map precision detection, and more particularly to a high-precision map accuracy detection method based on projected transformation. Background technique [0002] By building data standard car acquisition point clouds, image data, and then constructs a common high-precision map drawing method via data processing, due to factors such as shield, road surface wear, can result in a high precision map process. Error, thus need to further verify the accuracy of the high-precision map, currently existing high-precision map detection methods, usually used by collecting data, refactoring road environment, compared with CAD construction drawings, or to The instrument and RTK combine the coordinate comparison of the calibration, detecting the high-precision map accuracy of the lane level. [0003] At present, the high-precision map detection method is more single, and the method compared to the CAD drawing is...

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Problems solved by technology

[0002] Collecting point cloud and image data by building a data standard car, and then reconstructing the road environment through data processing is a common high-precision map drawing method at present. Due to factors such as obstructions and road surface wear, certain problems will occur in the process of drawing high-precision maps. Therefore, it is necessary to further verify the accuracy of the high-precision map. At present, there are few existing high-precision map detection methods. Usually, the high-precision map drawn by collecting data and reconstructing the road environment is compared with the CAD construction map or compared with the total station Compare the coordinates of the joint surveying and mapping calibration of the instrument and RTK to check whether the high-precision map can achieve lane-level accuracy

[0003] At present, the detection method of high-precision map is relatively simple. The method of comparison with CAD drawing mainly compares the contours of the two maps, and because CAD drawing does not contain coordinate information, it can only detect whether the rough contour or local size of the high-precision map is consistent with the The CAD drawings of the area are matched, but the CAD drawings only contain the size information of each part of the area, and

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