In this paper we present a method to calibrate the extrinsic parameters of a monocular camera on a moving vehicle. The method is based on a homography which describes the image motion on the road between two camera shots. Therefore, only the road surface has to be visible in the pair of images. A reasonable definition of the world coordinate system in combination with the use of epipolar geometry and odometric data enables the parameterization of the homography matrix with a single parameter. A measure is introduced which evaluates how well the image motion matches to motion described by the homography. The minimization of this one-dimensional error measure finally lead to the extrinsic parameters.
Homography-based extrinsic self-calibration for cameras in automotive applications
Extrinsische Selbstkalibrierung auf der Grundlage der Homographie für Fahrzeugspezifischen Kameras
2010
6 Seiten, 6 Bilder, 1 Tabelle, 11 Quellen
(nicht paginiert)
Conference paper
Storage medium
English
Homography-based extrinsic self-calibration for cameras in automotive applications
Automotive engineering | 2010
|Automatic Extrinsic Camera Self-Calibration Based on Homography and Epipolar Geometry, pp. 832-839
British Library Conference Proceedings | 2010
|Extrinsic calibration of heterogeneous cameras by line images
British Library Online Contents | 2014
|Extrinsic self-calibration of multiple cameras with non-overlapping views in vehicles
BASE | 2014
|