Abstract
Mobile robot navigation in unknown environments requires the concurrent estimation of the mobile robot localization with respect to a base reference and the construction of a global map of the navigation area. In this paper we present a comparative study of the performance of the localization and map building processes using two distinct sensorial systems: a rotating 2D laser rangefinder, and a trinocular stereo vision system.
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R. Smith, M. Self, and P. Cheesman. Estimating uncertain spatial relationships in robotics. In J.F. Lemmer and L.N. Kanal, editors, Uncertainty in Artificial Intelligence 2, pages 435–461. Elsevier Science Pub., 1988.
P. Moutarlier and R. Chatila. Stochastic multisensory data fusion for mobile robot location and environment modeling. In 5th Int. Symposium on Robotics Research, Tokyo, Japan, 1989.
J.J. Leonard and H.F. Durrant-Whyte. Simultaneous map building and localization for an autonomous mobile robot. In Proc. 1991 IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, pages 1442–1447, Osaka, Japan, 1991.
J.D. Tardós. Representing partial and uncertain sensorial information using the theory of symmetries. In Proc. 1992 IEEE Int. Conf. on Robotics and Automation, pages 1799–1804, Nice, France, 1992.
J. Neira, J.D. Tardós, J. Horn, and G. Schmidt. Fusing range and intensity images for mobile robot localization. IEEE Transactions on Robotics and Automation, 15(1):76–84, 1999.
P. Hébert, S. Betgé-Brezetz, and R. Chatila. Decoupling odometry and exteroceptive perception in building a global world map of a mobile robot: The use of local maps. In Proc. 1996 IEEE Int. Conf. Robotics and Automation, pages 757–764, Minneapolis, Minnesota, 1996.
J.A. Castellanos, J.D. Tardós, and G. Schmidt. Building a global map of the environment of a mobile robot: The importance of correlations. In Proc. 1997 IEEE Int. Conf. on Robotics and Automation, pages 1053–1059, Albuquerque, NM, U.S.A, April 1997.
J.A. Castellanos. Mobile Robot Localization and Map Building: A Multisensor Fusion Approach. PhD thesis, Dpto. de Ingeniería Eléctrica e Informática, University of Zaragoza, Spain, May 1998.
J.A. Castellanos and J.D. Tardós. Laser-based segmentation and localization for a mobile robot. In F. Pin, M. Jamshidi, and P. Dauchez, editors, Robotics and Manufacturing vol. 6-Procs. of the 6th Int. Symposium (ISRAM), pages 101–108. ASME Press, New York, NY, 1996.
J.B. Burns, A.R. Hanson, and E.M. Riseman. Extracting straight lines. IEEE Trans. on Pattern Analysis and Machine Intelligence, 8(4):425–455, 1986.
R.Y. Tsai. A versatile camera calibration technique for high-accuracy 3d machine vision metrology using off-the-self tv cameras and lenses. IEEE Journal of Robotics and Automation, 4(3):323–344, 1987.
J.M Martínez, Z. Zhang, and L. Montano. Segment-based structure from an imprecisely located moving camera. In IEEE Int. Symposium on Computer Vision, pages 182–187, Florida, November 1995.
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© 2000 Springer-Verlag London Limited
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Castellanos, J.A., Montiel, J.M.M., Neira, J., Tardós, J.D. (2000). Sensor influence in the performance of simultaneous mobile robot localization and map building. In: Experimental Robotics VI. Lecture Notes in Control and Information Sciences, vol 250. Springer, London. https://doi.org/10.1007/BFb0119407
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DOI: https://doi.org/10.1007/BFb0119407
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