Road network difference method and device, electronic equipment and storage medium

Abstract

The embodiment of the invention discloses a road network difference method and device, electronic equipment and a storage medium, and the method comprises the steps: respectively intercepting road data of a to-be-differentiated region from first road network data and second road network data, and obtaining first road data and second road data; performing vector data rasterization processing on the first road data and the second road data to obtain a first road image and a second road image; inputting the first road image and the second road image into a semantic segmentation model, and performing semantic segmentation processing on the second road image relative to the first road image through the semantic segmentation model to obtain a difference result image; and performing raster data vectorization processing on the difference result image to convert the difference result image into difference results corresponding to the first road data and the second road data. According to the embodiment of the invention, the global features of the road network in the to-be-differentiated region are comprehensively considered, and the accuracy of road network difference can be improved.

Description

technical field [0001] The embodiments of the present application relate to the technical field of electronic maps, and in particular to a road network difference method, device, electronic equipment, and storage medium. Background technique [0002] Road network difference refers to comparing two different road network data to find out the difference. For the road network data of the same source, the incremental part of the two versions of the road network data can be obtained through the road network difference. Perform quality checks on large amounts of data to ensure the quality of the new version of data. For heterogeneous road network data, by making a difference with the road network data of the parent database, the missing and redundant roads of the road network data of the parent database can be obtained, and then the heterogeneous road network data can be fused to update the road network data of the parent database and supplement The road network data of the moth...

AI Technical Summary

Problems solved by technology

[0004] The existing road network difference method includes two sub-processes of matching and difference, and belongs to the two-stage method. This method has the following disadvantages: road network matching is given two roads to determine whether they match and gives the matching confidence. The network matching itself is relatively complicated, and generally needs to rely on the characteristics of the road shape, distance, topology, and road attributes. Dependency, as mentioned above, road network matching generally uses features such as road attributes and topology, which requires source data to have these features, and the source data may not only be complete road network data produced by map data manufacturers, but may also be based on The road network generated by extracting satellite images, trajectories, etc., these data have no road attributes and lack of complete topological relationship, which affects the subsequent matching difference; road network difference not only needs to know whether the two roads match, but also needs to know the two roads The precise location of the match, road matching has three modes: 1:1, 1:N and M:N, such as figure 1 As shown, different matching modes will cause different differential results. If it is a 1:1 complete match, then the roads AB and CD on the two matches can be directly truncated. If it is a 1:N and M:N partial match, then The matching part needs to be truncated, and the remaining part continues to be differentiated with other roads, such as DD remaining in 1:N matching 1 , AA is left in the M:N match 1 and DD 1 , the determination of the exact position of the matching part and multiple rounds of difference will reduce the effect of the difference

That is to say, the road network difference method in the prior art, which includes two sub-processes of road matching and difference, has the problem of poor accuracy of the difference result

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