Traditional power engineering road cross-section measurement methods measure the measurement points on each road cross-section one by one in a contact manner, leading to labor-intensive internal and external works. Although existing LiDAR-based measurement methods can improve the efficiency of field data acquisition, internal data processing is still in a low-efficiency manual manner. Aiming at these bottleneck problems, this paper proposes an automatic road cross-section acquisition method that integrates BeiDou navigation satellite system (BDS) technology and the LiDAR measurement method. The new method obtains high-precision 3D laser point cloud data of road environment through the LiDAR terminals on mobile carriers, and uses the instantaneous pose information provided by BDS and inertial measurement unit (IMU) to construct overall environment point cloud from the point cloud data. Based on the location of a road cross-section, the point cloud of the location is automatically extracted, and the point cloud data of the road cross section is extracted and formed into a standardized format file automatically. Compared with existing methods, the proposed method can obtain result datasets in real time by only operating parameter setting of road design elements and the measurement distance of the cross-sections, greatly improving the degree of automation and work efficiency.
SUN Yixin, LIU Zhanjie, LIU Zhe, TANG Xuehua, ZENG Xiaodong, LI Jing
. Automatic Acquisition Method of Electric Power Engineering Road Cross Section Integrating BeiDou and LiDAR Mobile Measurement[J]. Journal of Applied Sciences, 2022
, 40(6)
: 953
-963
.
DOI: 10.3969/j.issn.0255-8297.2022.06.006
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