Unattended high-precision map quality inspection method and device

Abstract

The invention provides an unattended high-precision map quality inspection method and a device, and the method comprises the steps: extracting a first traffic element set through a first deep learningmodel based on the collected high-precision map data; extracting a second traffic element set from the high-precision map data through a second deep learning model, and performing quality inspectionon the first traffic element set by taking the second traffic element set as a standard; and error type marking is performed on the error targets which are unqualified in quality inspection, and the error targets are recorded in a database, so that an operator can modify the error targets according to the error type marks. According to the method, an artificial intelligence deep learning algorithmis used to replace quality inspection personnel to carry out quality inspection on the extracted traffic factor information. A traditional manual quality inspection mode is low in efficiency, and theinfluence of high subjectivity of manual quality inspection on the quality inspection accuracy is avoided. The labor cost is reduced, and the quality inspection efficiency of the high-precision map is improved.

Description

technical field [0001] The embodiments of the present invention relate to the field of high-precision map production, and in particular to an unattended high-precision map quality inspection method and device. Background technique [0002] High-precision maps, generally speaking, are electronic maps with higher precision and more data dimensions. The higher accuracy is reflected in the accuracy to the centimeter level, and the data dimension is more reflected in the fact that it includes surrounding static information related to traffic in addition to road information. High-precision maps also play a pivotal role in autonomous driving. Using high-precision maps, self-driving vehicles can obtain prior knowledge of the outside world and drive safely even in harsh environments. Therefore, the accuracy of structured data in high-precision maps A certain degree of precision is required to ensure that autonomous vehicles can safely drive in complex environments. [0003] High-pr...

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Problems solved by technology

[0007] The embodiment of the present invention provides an unattended high-precision map quality inspection method and device, which are used to solve the problem that in the prior art, the manual quality inspection method is inefficient, labor-intensive, and the manual quality inspection is relatively subjective. The problem of reliability cannot be guaranteed

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