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Performance analysis of a compact and low-cost mapping-grade mobile laser scanning system
- Source :
- Journal of Applied Remote Sensing. 11:1
- Publication Year :
- 2017
- Publisher :
- SPIE-Intl Soc Optical Eng, 2017.
-
Abstract
- The performance of a low-cost, self-contained, compact, and easy to deploy mapping-grade mobile laser scanning (MLS) system, which is composed of a light detection and ranging sensor Velodyne VLP-16 and a dual antenna global navigation satellite system/inertial navigation system SBG Systems Ellipse-D, is analyzed. The field tests were carried out in car-mounted and backpack modes for surveying road engineering structures (such as roads, parking lots, underpasses, and tunnels) and coastal erosion zones, respectively. The impact of applied calculation principles on trajectory postprocessing, direct georeferencing, and the theoretical accuracy of the system is analyzed. A calibration method, based on Bound Optimization BY Quadratic Approximation, for finding the boresight angles of an MLS system is proposed. The resulting MLS point clouds are compared with high-accuracy static terrestrial laser scanning data and survey-grade MLS data from a commercially manufactured MLS system. The vertical, horizontal, and relative accuracy are assessed—the root-mean-square error (RMSE) values were determined to be 8, 15, and 3 cm, respectively. Thus, the achieved mapping-grade accuracy demonstrates that this relatively compact and inexpensive self-assembled MLS can be successfully used for surveying the geometry and deformations of terrain, buildings, road, and other engineering structures.
- Subjects :
- 010504 meteorology & atmospheric sciences
Computer science
0211 other engineering and technologies
Point cloud
Ranging
Satellite system
Terrain
02 engineering and technology
01 natural sciences
Calibration
Trajectory
General Earth and Planetary Sciences
Antenna (radio)
Inertial navigation system
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Remote sensing
Subjects
Details
- ISSN :
- 19313195
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- Journal of Applied Remote Sensing
- Accession number :
- edsair.doi...........2ef14f5a8f4fa776e7b435a23fb9ca4f
- Full Text :
- https://doi.org/10.1117/1.jrs.11.044003