Abstract
Mobile platforms typically combine several data acquisition systems such as lasers, cameras and inertial systems. However the geometrical combination of the different sensors requires their calibration, at least, through the definition of the extrinsic parameters, i.e., the transformation matrices that register all sensors in the same coordinate system. Our system generate an accurate association between platform sensors and the estimated parameters including rotation, translation, focal length, world and sensors reference frame. The extrinsic camera parameters are computed by Zhang’s method using a pattern composed of white rhombus and rhombus holes, and the LIDAR with the results of previous work. Points acquired by the LIDAR are projected into images acquired by the Ladybug cameras. A new calibration pattern, visible to both sensors is used. Correspondence is obtained between each laser point and its position in the image, the texture and color of each point of LIDAR can be know.
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Almeida, M., Dias, P., Oliveira, M., Santos, V.: 3d-2d laser range finder calibration using a conic based geometry shape. In: Image Analysis and Recognition, pp. 312–319 (2012)
Atanacio-Jiménez, G., González-Barbosa, J.J., Hurtado-Ramos, J.B., Ornelas-Rodríguez, F.J., Jiménez-Hernández, T., García-Ramirez, H., González-Barbosa, R.: Lidar velodyne hdl-64e calibration using pattern planes. International Journal of Advanced Robotic Systems 8(5), 70–82 (2011)
Bouguet, J.Y.: Camera calibration toolbox for Matlab (2008)
Mei, C., Rives, P.: Calibration between a central catadioptric camera and a laser range finder for robotic applications. In: Proceedings 2006 IEEE International Conference on Robotics and Automation, ICRA 2006, pp. 532–537. IEEE (2006)
Mirzaei, F.M., Kottas, D.G., Roumeliotis, S.I.: 3d lidar-camera intrinsic and extrinsic calibration: Observability analysis and analytical least squares-based initialization. International Journal of Robotics Research 31(4), 452–467 (2012)
Nunez, P., Drews Jr, P., Rocha, R., Dias, J.: Data fusion calibration for a 3d laser range finder and a camera using inertial data. In: European Conference on Mobile Robots, vol. 9, p. 9 (2009)
Rodriguez, F., Fremont, V., Bonnifait, P., et al.: Extrinsic calibration between a multi-layer lidar and a camera. In: IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2008, pp. 214–219. IEEE (2008)
Schneider, S., Himmelsbach, M., Luettel, T., Wuensche, H.J.: Fusing vision and lidar-synchronization, correction and occlusion reasoning. In: 2010 IEEE Intelligent Vehicles Symposium (IV), pp. 388–393 (2010)
Underwood, J., Scheding, S., Ramos, F.: Real-time map building with uncertainty using colour camera and scanning laser. In: Proceedings of the 2007 Australasian Conference on Robotics and Automation (2007)
Zhang, Z.: A flexible new technique for camera calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1330–1334 (2000)
Zhao, G., Xiao, X., Yuan, J.: Fusion of velodyne and camera data for scene parsing. In: 2012 15th International Conference on Information Fusion (FUSION), pp. 1172–1179 (2012)
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García-Moreno, AI., Gonzalez-Barbosa, JJ., Ornelas-Rodriguez, FJ., Hurtado-Ramos, J.B., Primo-Fuentes, MN. (2013). LIDAR and Panoramic Camera Extrinsic Calibration Approach Using a Pattern Plane. In: Carrasco-Ochoa, J.A., Martínez-Trinidad, J.F., Rodríguez, J.S., di Baja, G.S. (eds) Pattern Recognition. MCPR 2013. Lecture Notes in Computer Science, vol 7914. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38989-4_11
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DOI: https://doi.org/10.1007/978-3-642-38989-4_11
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