Automated approach for rigorous light detection and ranging system calibration without preprocessing and strict terrain coverage requirements

Ana P. Kersting; Ayman Habib; Ki-In Bang; Jan Skaloud

doi:10.1117/1.OE.51.7.076201

11 July 2012 Automated approach for rigorous light detection and ranging system calibration without preprocessing and strict terrain coverage requirements

Ana P. Kersting, Ayman Habib, Ki-In Bang, Jan Skaloud

Author Affiliations +

Optical Engineering, Vol. 51, Issue 7, 076201 (July 2012). https://doi.org/10.1117/1.OE.51.7.076201

Abstract

Light detection and ranging (LiDAR) has demonstrated its capabilities as a prominent technique for the direct acquisition of high density and accurate topographic information. To achieve the potential accuracy of such systems, a rigorous system calibration should be performed. We introduce a novel rigorous LiDAR system calibration procedure where the system parameters are determined by minimizing the discrepancies among conjugate surface elements in overlapping strips and control data, if available. The method is automated and does not require specific features (e.g., planes or lines) in the covered area or preclassification of the point cloud. Suitable primitives, which do not involve preprocessing of the data, are implemented. The correspondence between conjugate primitives is determined using a robust matching procedure. A modification to the Gauss Markov model is introduced to keep the implementation of the calibration procedure simple while utilizing higher order primitives. Experimental results have demonstrated the effectiveness of the proposed method over different types of terrain coverage.

Citation Download Citation

Ana P. Kersting, Ayman Habib, Ki-In Bang, and Jan Skaloud "Automated approach for rigorous light detection and ranging system calibration without preprocessing and strict terrain coverage requirements," Optical Engineering 51(7), 076201 (11 July 2012). https://doi.org/10.1117/1.OE.51.7.076201

Published: 11 July 2012

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available