Page 201 - Autonomous Mobile Robots
P. 201

Landmarks and Triangulation in Navigation                  185

                                12. McGillem C. D. and Rappaport T. S. (1988). Infrared location system for
                                    navigation of autonomous vehicles, in Proceedings of International Conference
                                    on Robotics and Automation, pp. 1236–1238.
                                13. Borenstain J. (1994). The CLAPPER: a dual-drive mobile robot with internal
                                    correction of dead-reckoning errors, in Proceedings of IEEE International
                                    Conference on Robotics and Automation, San Diego, CA, pp. 3085–3090.
                                14. Durrant-Whyte H. F. (1996). An autonomous guided vehicle for cargo handling
                                    applications, International Journal of Robotics Research, 15, 407–440.
                                15. Madsen C. B. and Andersen C. S. (1998). Optimal landmark selection for trian-
                                    gulation of robot position, International Journal of Robotics and Autonomous
                                    Systems, 23, 277–292.
                                16. Skewis T. and Lumesly V. (1994). Experiments with a mobile robot oper-
                                    ating in a cluttered unknown environment, Journal of Robotic Systems, 11,
                                    281–300.
                                17. Leonard J. and Durrant-Whyte H. F. (1991). Mobile robot localization by track-
                                    ing geometric beacons, IEEE Transactions on Robotics and Automation,7,
                                    376–382.
                                18. Yuen D. C. K. and MacDonald B. A. (2005). Vision-based localisation algorithm
                                    based on landmark matching, triangulation, reconstruction and comparison,
                                    IEEE Transactions on Robotics, 21, 217–226.
                                19. Atiya S. and Hager H. D. (1993). Real-time vision-based robot localisation,
                                    IEEE Transactions on Robotics and Automation, 9, 785–800.
                                20. Se S., Lowe D. G., and Little J. (2002). Global localisation using distinct-
                                    ive visual features, in Proceedings of International Conference on Intelligent
                                    Robotic Systems, Lausanne, Switzerland, pp. 226–231.
                                 21. Matari´ c M. J. et al. (2002). Learning visual landmarks for mobile robot naviga-
                                    tion, in Proceedings of the 15th Triennial World Congress of Automatic Control
                                    (IFAC02), Barcelona, Spain, pp. 890–895.
                                 22. Chage S., Chen L., Chung Y., and Chen S. (2004). Automatic license plate
                                    recognition, IEEE Transactions on Intelligent Transportation Systems,5,
                                    42–53.
                                 23. Bai H., Zhu J., and Liu C. (2003). A fast license plate extraction method on
                                    complex background, intelligent transportation systems, Proceedings of IEEE,
                                    2, 985–987.
                                 24. Boley D. and Sutherland K. (1998). A rapidly converging recursive method for
                                    mobile robot localisation, The International Journal of Robotics Research, 17,
                                    1027–1039.
                                 25. Howard A., Mataric M. J., and Sukhatme G. S. (2003). Localization for mobile
                                    robot teams: a distributed MLE approach, Experimental Robotics VIII, Bruno
                                    Siciliano and Paulo Dario (eds), Springer-Verlag, Heidelberg, pp. 146–155.
                                 26. Forsberg J., Larsson U., and Wernersson A. (1995). Mobile robot naviga-
                                    tion using tange-weight Hough transforms, IEEE Robotics and Automation
                                    Magazine, 2, 18–26.
                                 27. Chenov N. and Lesort C. (2003). Least squares fitting of circles and lines,
                                    http://arxiv.org/abs/cs/030100/, Journal of Computer Vision and Pattern Recog-
                                    nition, 1001–1027.
                                 28. Aboshosha A. and Zell A. (2003). Robust mapping and path planning for indoor
                                    robots based on sensor integration of sonar and a 2D laser range finder, in


                              © 2006 by Taylor & Francis Group, LLC



                                 FRANKL: “dk6033_c004” — 2006/3/31 — 16:42 — page 185 — #37
   196   197   198   199   200   201   202   203   204   205   206