Mutual Calibration of a Camera and a Laser Rangefinder

Vincenzo Caglioti, Alessandro Giusti, Davide Migliore

2008

Abstract

We present a novel geometrical method for mutually calibrating a camera and a laser rangefinder by exploiting the image of the laser dot in relation to the rangefinder reading. Our method simultaneously estimates all intrinsic parameters of a pinhole natural camera, its position and orientation w.r.t. the rangefinder axis, and four parameters of a very generic rangefinder model with one rotational degree of freedom. The calibration technique uses data from at least 5 different rangefinder rotations: for each rotation, at least 3 different observations of the laser dot and the respective rangefinder reading are needed. Data collection is simply performed by generically moving the rangefinder-camera system, and does not require any calibration target, nor any knowledge of environment or motion. We investigate the theoretical limits of the technique as well as its practical application; we also show extensions to using more data than strictly necessary or exploit a priori knowledge of some parameters.

References

  1. M. Antone and Y. Friedman. Fully automated laser range calibration. In Proc. of BMVC 2007.
  2. Carlo Colombo, Dario Comanducci, and Alberto Del Bimbo. Camera calibration with two arbitrary coaxial circles. In Proc. of ECCV 2006.
  3. Andrew W. Fitzgibbon and Robert B. Fisher. A buyer's guide to conic fitting. In Proceedings of BMVC 1995.
  4. Pierre Gurdjos, Peter Sturm, and Yihong Wu. Euclidean structure from n >= 2 parallel circles: Theory and algorithms. In Proc. of ECCV 2006.
  5. R. I. Hartley and A. Zisserman. Multiple View Geometry in Computer Vision. 2004.
  6. G. Jiang, H. Tsui, L. Quan, and A. Zisserman. Geometry of single axis motions using conic fitting. 2003.
  7. C. Mei and P. Rives. Calibration between a central catadioptric camera and a laser range finder for robotic applications. In Proc. of ICRA 2006.
  8. Tomás? Svoboda, Daniel Martinec, and Tomás? Pajdla. A convenient multi-camera selfcalibration for virtual environments. PRESENCE: Teleoperators and Virtual Environments.
  9. Qilong Zhang and R. Pless. Extrinsic calibration of a camera and laser range finder (improves camera calibration). In Proc. of IROS 2004.
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Paper Citation


in Harvard Style

Caglioti V., Giusti A. and Migliore D. (2008). Mutual Calibration of a Camera and a Laser Rangefinder . In VISAPP-Robotic Perception - Volume 1: VISAPP-RoboPerc, (VISIGRAPP 2008) ISBN 978-989-8111-23-4, pages 33-42. DOI: 10.5220/0002341700330042


in Bibtex Style

@conference{visapp-roboperc08,
author={Vincenzo Caglioti and Alessandro Giusti and Davide Migliore},
title={Mutual Calibration of a Camera and a Laser Rangefinder},
booktitle={VISAPP-Robotic Perception - Volume 1: VISAPP-RoboPerc, (VISIGRAPP 2008)},
year={2008},
pages={33-42},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002341700330042},
isbn={978-989-8111-23-4},
}


in EndNote Style

TY - CONF
JO - VISAPP-Robotic Perception - Volume 1: VISAPP-RoboPerc, (VISIGRAPP 2008)
TI - Mutual Calibration of a Camera and a Laser Rangefinder
SN - 978-989-8111-23-4
AU - Caglioti V.
AU - Giusti A.
AU - Migliore D.
PY - 2008
SP - 33
EP - 42
DO - 10.5220/0002341700330042