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Proceedings Paper

Automatic and robust extrinsic camera calibration for high-accuracy mobile mapping
Author(s): Werner Goeman; Koen Douterloigne; Peter Bogaert; Rui Pires; Sidharta Gautama
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Paper Abstract

A mobile mapping system (MMS) is the answer of the geoinformation community to the exponentially growing demand for various geospatial data with increasingly higher accuracies and captured by multiple sensors. As the mobile mapping technology is pushed to explore its use for various applications on water, rail, or road, the need emerges to have an external sensor calibration procedure which is portable, fast and easy to perform. This way, sensors can be mounted and demounted depending on the application requirements without the need for time consuming calibration procedures. A new methodology is presented to provide a high quality external calibration of cameras which is automatic, robust and fool proof.The MMS uses an Applanix POSLV420, which is a tightly coupled GPS/INS positioning system. The cameras used are Point Grey color video cameras synchronized with the GPS/INS system. The method uses a portable, standard ranging pole which needs to be positioned on a known ground control point. For calibration a well studied absolute orientation problem needs to be solved. Here, a mutual information based image registration technique is studied for automatic alignment of the ranging pole. Finally, a few benchmarking tests are done under various lighting conditions which proves the methodology’s robustness, by showing high absolute stereo measurement accuracies of a few centimeters.

Paper Details

Date Published: 15 October 2012
PDF: 8 pages
Proc. SPIE 8499, Applications of Digital Image Processing XXXV, 84991A (15 October 2012); doi: 10.1117/12.928848
Show Author Affiliations
Werner Goeman, Ghent Univ. (Belgium)
Koen Douterloigne, Ghent Univ. (Belgium)
Peter Bogaert, Grontmij Belgium NV (Belgium)
Ghent Univ. (Belgium)
Rui Pires, Grontmij Belgium NV (Belgium)
Sidharta Gautama, Ghent Univ. (Belgium)


Published in SPIE Proceedings Vol. 8499:
Applications of Digital Image Processing XXXV
Andrew G. Tescher, Editor(s)

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