Q. Zhang and R. Pless, Extrinsic calibration of a camera and laser range finder (improves camera calibration), International Conference on Intelligent Robots and Systems, pp.2301-2306, 2004.

J. Ha, Extrinsic calibration of a camera and laser range finder using a new calibration structure of a plane with a triangular hole, International Journal of Control, Automation and Systems, vol.9, issue.5, pp.1240-1244, 2012.
DOI : 10.1007/s12555-012-0619-7

L. Heng, B. Li, and M. Pollefeys, CamOdoCal: Automatic intrinsic and extrinsic calibration of a rig with multiple generic cameras and odometry, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.2013-1793, 2013.
DOI : 10.1109/IROS.2013.6696592

S. Schneider, T. Luettel, and H. Wuensche, Odometry-based online extrinsic sensor calibration, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.1287-1292, 2013.
DOI : 10.1109/IROS.2013.6696515

T. Gokhool, M. Meilland, P. Rives, and E. Fernández, A Dense Map Building Approach from Spherical RGBD Images, International Conference on Computer Vision Theory and Applications, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01086902

R. Szeliski and H. Shum, Creating full view panoramic image mosaics and environment maps, Proceedings of the 24th annual conference on Computer graphics and interactive techniques , SIGGRAPH '97, pp.251-258, 1997.
DOI : 10.1145/258734.258861

URL : http://cdserver.icemt.iastate.edu/cd/s97cp/contents/papers/szeliski/szeliski.pdf

F. Moreno, J. Gonzalez-jimenez, J. Blanco, and A. Esteban, An Instrumented Vehicle for Efficient and Accurate 3D Mapping of Roads, Computer-Aided Civil and Infrastructure Engineering, vol.27, issue.7, pp.403-419, 2013.
DOI : 10.1111/mice.12006

J. Brookshire and S. J. Teller, Extrinsic Calibration from Per-Sensor Egomotion, Robotics: Science and Systems VIII, 2012.
DOI : 10.15607/RSS.2012.VIII.004

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.295.2471

K. Khoshelham and S. O. Elberink, Accuracy and Resolution of Kinect Depth Data for Indoor Mapping Applications, Sensors, vol.12, issue.12, pp.1437-1454, 2012.
DOI : 10.3390/s120201437

]. A. Teichman, S. Miller, and S. Thrun, Unsupervised Intrinsic Calibration of Depth Sensors via SLAM, Robotics: Science and Systems IX, 2013.
DOI : 10.15607/RSS.2013.IX.027

C. Kerl, J. Sturm, and D. Cremers, Dense visual slam for rgbd cameras, International Conference on Intelligent Robots and Systems, 2013.
DOI : 10.1109/iros.2013.6696650

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.402.5544

D. Holz and S. Behnke, Fast Range Image Segmentation and Smoothing Using Approximate Surface Reconstruction and Region Growing, Intelligent Autonomous Systems 12, pp.61-73, 2013.
DOI : 10.1007/978-3-642-33932-5_7

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.261.42

M. Zuliani, C. Kenney, and B. Manjunath, The multiRANSAC algorithm and its application to detect planar homographies, IEEE International Conference on Image Processing 2005, 2005.
DOI : 10.1109/ICIP.2005.1530351

D. Borrmann, J. Elseberg, K. Lingemann, and A. Nüchter, The 3D Hough Transform for plane detection in point clouds: A review and a new accumulator design, 3D Research, vol.39, issue.4, pp.1-13, 2011.
DOI : 10.1007/3DRes.02(2011)3

J. Poppinga, N. Vaskevicius, A. Birk, and K. Pathak, Fast plane detection and polygonalization in noisy 3D range images, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008.
DOI : 10.1109/IROS.2008.4650729

K. Pathak, N. Vaskevicius, and A. Birk, Uncertainty analysis for optimum plane extraction from noisy 3D range-sensor point-clouds, Intelligent Service Robotics, vol.11, issue.5, pp.37-48, 2010.
DOI : 10.1007/s11370-009-0057-4

K. Pathak, A. Birk, N. Vaskevicius, and J. Poppinga, Fast Registration Based on Noisy Planes With Unknown Correspondences for 3-D Mapping, IEEE Transactions on Robotics, vol.26, issue.3, pp.424-441, 2010.
DOI : 10.1109/TRO.2010.2042989

E. Fernández-moral, W. Mayol-cuevas, V. Arévalo, and J. González-jiménez, Fast place recognition with plane-based maps, 2013 IEEE International Conference on Robotics and Automation, 2013.
DOI : 10.1109/ICRA.2013.6630951

M. A. Fischler and R. C. Bolles, Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography, Communications of the ACM, vol.24, issue.6, pp.381-395, 1981.
DOI : 10.1145/358669.358692

J. Fernández-madrigal and J. L. Claraco, Simultaneous Localization and Mapping for Mobile Robots: Introduction and Methods, Information Science Reference, 2013.
DOI : 10.4018/978-1-4666-2104-6

K. S. Arun, T. S. Huang, and S. D. Blostein, Least-squares fitting of two 3-d point sets Pattern Analysis and Machine Intelligence, IEEE Transactions, issue.5, pp.698-700, 1987.

O. Sorkine, Least-squares rigid motion using svd, 2009.

J. Blanco, A tutorial on se(3) transformation parameterizations and on-manifold optimization, 2010.