Automatic extraction method for road information based on point cloud
A technology for automatic extraction and road information, applied in the directions of road network navigators, measuring devices, surveying and navigation, etc., can solve the problems of high accuracy and quality requirements, low survey and design work costs, low product accuracy, etc., to meet the data accuracy requirements. and density requirements, reduce project costs, and ensure the effect of personal safety
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Embodiment 1
[0071] figure 1 A schematic flow chart of the method for automatically extracting road information based on point clouds provided in this embodiment, as shown in the figure, the method is as follows:
[0072] S1 data acquisition: After the selection of the ground GNSS base station and the calibration of the acquisition equipment are completed, the point cloud data is collected through the mobile platform;
[0073] S2 data preprocessing: preprocess the collected raw data and output the required point cloud data;
[0074] S3 point cloud filtering: filter point cloud data through filtering processing software, and obtain accurate point cloud classification results through automatic classification and partial human-computer interaction classification;
[0075] S4 Extraction of objects of interest: Use the filtered point cloud to extract ground object information and output it in the required format.
[0076] Such as Figure 5 As shown, the specific data collection process is as...
Embodiment 2
[0120] figure 2 A schematic flow chart of the method for automatically extracting road information based on point clouds provided in this embodiment, as shown in the figure, the method is as follows:
[0121] S1 data acquisition: After the selection of the ground GNSS base station and the calibration of the acquisition equipment are completed, the point cloud data is collected through the mobile platform;
[0122] S2 data preprocessing: preprocess the collected raw data and output the required point cloud data;
[0123] S3 point cloud accuracy correction control point measurement: In order to obtain higher-precision result data, it is necessary to lay out a certain number of control points on the road surface and measure them with the required accuracy level;
[0124] S4 point cloud accuracy correction: In order to meet the accuracy requirements of relevant data results, the accuracy of the preprocessed point cloud is corrected by using the road surface control points obtain...
Embodiment 3
[0200] image 3 A schematic flow chart of the method for automatically extracting road information based on point clouds provided in this embodiment, as shown in the figure, the method is as follows:
[0201] S1 data acquisition: After the selection of the ground GNSS base station and the calibration of the acquisition equipment are completed, the point cloud data is collected through the mobile platform;
[0202] S2 data preprocessing: preprocess the collected raw data and output the required point cloud data;
[0203] S3 point cloud accuracy correction control point measurement: In order to obtain higher-precision result data, it is necessary to lay out a certain number of control points on the road surface and measure them with the required accuracy level;
[0204] S4 point cloud accuracy correction: In order to meet the accuracy requirements of relevant data results, the accuracy of the preprocessed point cloud is corrected using the road surface control points obtained f...
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