Extrinsic Calibration between 2D Laser Range Finder and Fisheye Camera
This paper presents an approach of extrinsic calibration between a camera with fisheye lens and an invisible single-planar laser range finder (LRF). The proposed approach requires LRF and camera to observe a chessboard moved in their field of view. Through checking the changment of LRF measurements, a set of points located in the laser beams plane is detected. These detected points are then used to estimate the equation of the plane of the laser beams in the camera coordinate system. Finally, two geometrical constraints based on the equation of the plane and the set of points are constructed to estimate the extrinsic parameters between the fisheye camera and the LRF. According to simulation results, we show that the proposed approach permits to improve the results (when compared with the approach proposed in paper ). At last, real data experiments are carried out and results are presented.
KeywordsLRF Fisheye Known Points
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- 1.Mei, C., Rives, P.: Calibration between a central catadioptric camera and a laser range finder for robotic applications, pp. 532–537 (2006)Google Scholar
- 2.Aliakbarpour, H., Nuez, P., Prado, J., Khoshhal, K., Dias, J.: An efficient algorithm for extrinsic calibration between a 3D laser range finder and a stereo camera for surveillance. In: International Conference on Advanced Robotics, pp. 1–6 (June 2009)Google Scholar
- 3.Scaramuzza, D., Harati, A., Siegwart, R.: Extrinsic self calibration of a camera and a 3D laser range finder from natural scenes. In: International Conference on Intelligent Robots and Systems, pp. 4164–4169 (2007)Google Scholar
- 5.Zhang, Q., Pless, R.: Extrinsic calibration of a camera and laser range finder (improves camera calibration). In: International Conference on Intelligent Robots and Systems, vol. 3, pp. 2301–2306 (October 2004)Google Scholar
- 6.Brim, X., Goulette, F.: Modeling and calibration of coupled fish-eye CCD camera and laser range scanner for outdoor environment reconstruction. In: Sixth International Conference on 3-D Digital Imaging and Modeling, pp. 320–327 (August 2007)Google Scholar
- 7.Naroditsky, O., Patterson, A., Daniilidis, K.: Automatic alignment of a camera with a line scan LIDAR system. pp. 3429–3434 (2011)Google Scholar
- 8.Scaramuzza, D., Martinelli, A., Siegwart, R.: A toolbox for easily calibrating omnidirectional cameras. In: International Conference on Intelligent Robots and Systems, pp. 5695–5701 (October 2006)Google Scholar
- 10.Mei, C., Rives, P.: Single view point omnidirectional camera calibration from planar grids. In: International Conference on Robotics and Automation, pp. 3945–3950 (April 2007)Google Scholar
- 11.Golub, G.H., Loan, C.F.V.: Matrix computations. Johns Hopkins University Press (1996)Google Scholar
- 12.Ranganathan, A.: The levenberg-marquardt algorithm (2004), http://www.cc.gatech.edu/~ananth/docs/lmtut.pdf.