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Journal Article

Citation

Chen Q, Xu H, Tan L. PLoS One 2015; 10(5): e0127018.

Affiliation

School of Transportation, Jilin University, Changchun, Jilin, China.

Copyright

(Copyright © 2015, Public Library of Science)

DOI

10.1371/journal.pone.0127018

PMID

26011052

Abstract

In order to address the difficulty of arranging large calibration objects and the low measurement accuracy of small calibration objects in traffic accident scene photogrammetry, a photogrammetric method based on a composite of small calibration objects is proposed. Several small calibration objects are placed around the traffic accident scene, and the coordinate system of the composite calibration object is given based on one of them. By maintaining the relative position and coplanar relationship of the small calibration objects, the local coordinate system of each small calibration object is transformed into the coordinate system of the composite calibration object. The two-dimensional direct linear transformation method is improved based on minimizing the reprojection error of the calibration points of all objects. A rectified image is obtained using the nonlinear optimization method. The increased accuracy of traffic accident scene photogrammetry using a composite small calibration object is demonstrated through the analysis of field experiments and case studies.


Language: en

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