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Remote Sens. 2010, 2(6), 1610-1624; doi:10.3390/rs2061610
Article
Static Calibration and Analysis of the Velodyne HDL-64E S2 for High Accuracy Mobile Scanning
1
Terrapoint USA Inc, 25216 Grogans Park Drive, The Woodlands, TX 77380, USA
2
Department of Geomatics Engineering, The University of Calgary, 2500 University Drive NW, T2N 1N4, Calgary, AB, Canada
* Author to whom correspondence should be addressed.
Received: 7 June 2010; in revised form: 17 June 2010 / Accepted: 18 June 2010 / Published: 22 June 2010
Abstract: The static calibration and analysis of the Velodyne HDL-64E S2 scanning LiDAR system is presented and analyzed. The mathematical model for measurements for the HDL-64E S2 scanner is derived and discussed. A planar feature based least squares adjustment approach is presented and utilized in a minimally constrained network in order to derive an optimal solution for the laser’s internal calibration parameters. Finally, the results of the adjustment along with a detailed examination of the adjustment residuals are given. A three-fold improvement in the planar misclosure residual RMSE over the standard factory calibration model was achieved by the proposed calibration. Results also suggest that there may still be some unmodelled distortions in the range measurements from the scanner. However, despite this, the overall precision of the adjusted laser scanner data appears to make it a viable choice for high accuracy mobile scanning applications.
Keywords: LiDAR; system calibration; accuracy; error analysis
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MDPI and ACS Style
Glennie, C.; Lichti, D.D. Static Calibration and Analysis of the Velodyne HDL-64E S2 for High Accuracy Mobile Scanning. Remote Sens. 2010, 2, 1610-1624.
AMA StyleGlennie C, Lichti DD. Static Calibration and Analysis of the Velodyne HDL-64E S2 for High Accuracy Mobile Scanning. Remote Sensing. 2010; 2(6):1610-1624.
Chicago/Turabian StyleGlennie, Craig; Lichti, Derek D. 2010. "Static Calibration and Analysis of the Velodyne HDL-64E S2 for High Accuracy Mobile Scanning." Remote Sens. 2, no. 6: 1610-1624.
Remote Sens.
EISSN 2072-4292
Published by MDPI AG, Basel, Switzerland
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