Method, apparatus, and device for classifying LiDAR point cloud data, and storage medium
US11636289B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Dec 21, 2017 |
| Grant date | Apr 25, 2023 |
| Priority date | — |
| Expiry date | Dec 16, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/182
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, an apparatus, and a device for classifying LiDAR point cloud data, and a storage medium. The method includes: acquiring sample point cloud data and LiDAR point cloud data to be classified; building a point cloud classifier according to the sample point cloud data; classifying the LiDAR point cloud data to be classified by the point cloud classifier. In the present disclosure, the point cloud classifier is trained from the sample point cloud data, and the automatic classification is performed by the point cloud classifier for the LiDAR point cloud data to be classified. The sample point cloud data used for training the point cloud classifier includes various tower data and electric power line data. Moreover, after the classification result is obtained from the automatic classification, the speckling merging optimization is further performed, and the optimization is performed according to the tower position file and the preset optimization rule.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.