High-precision map data processing method and high-precision map data processing device
A technology of map data and processing methods, applied in image data processing, special data processing applications, geographic information databases, etc., can solve problems such as ghosting and dislocation of map image objects, and achieve the effect of removing ghosting and improving clarity
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Embodiment 1
[0026] figure 1 It is a flow chart of a method for processing high-precision map data provided by Embodiment 1 of the present invention. The method can be executed by a device for processing high-precision map data, wherein the device can be implemented by software and / or hardware, and can generally be integrated into a server capable of processing image data.
[0027] see figure 1 , the method specifically includes the following:
[0028] S101. Collect map data at least twice along the target trajectory, so as to obtain at least two original map data respectively.
[0029] In the above operations, the target trajectory may refer to the collection route of collection tools such as a collection vehicle for map data collection, a collection aircraft model, or a collection robot. The route may be artificially preset and stored in the above collection tool. It may also be a better collection route determined by the collection tool itself according to the collection start point ...
Embodiment 2
[0051] The method for processing high-precision map data provided by Embodiment 2 of the present invention is based on the above-mentioned embodiments. Further, the method for separately identifying objects in the original map data and extracting object features is optimized. The optimization is to use Static object recognition is performed on the point cloud data in the original map data, and structural features of the static object are extracted.
[0052] Point cloud data includes the reflectivity and shape features of different objects. Since point cloud data is a series of discrete points of the surface model of object data, compared with using image data to identify objects, using point cloud data to identify static objects can improve the accuracy of identifying objects, thereby improving the extracted Accuracy of object features.
[0053] Optionally, on the basis of the technical solutions of the above-mentioned embodiments, the reflectance in the point cloud data in t...
Embodiment 3
[0065] image 3 It is a schematic structural diagram of an apparatus for processing high-precision map data provided by Embodiment 3 of the present invention.
[0066] see image 3 , the device of this embodiment specifically includes: an acquisition module 31, an identification module 32, a matching module 33 and a fusion processing module 34;
[0067] Wherein, the collection module 31 is used to collect the map data at least twice along the target trajectory, so as to obtain at least two original map data respectively;
[0068] An identification module 32, configured to identify objects in the original map data respectively, and extract object features;
[0069] A matching module 33, configured to match object features in each of the original map data;
[0070] The fusion processing module 34 is configured to perform fusion processing on each of the original map data by taking the object matching the object feature as a reference object.
[0071] In the technical solutio...
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