1[1]BORENSTEIN J, EVERETT H R, FENG L. Navigating mobile robots: sensors and techniques [ M ]. Weileshey:A.K. Peters Ltd, 1996.
2[2]DULIMARIA H S, JAIN A K K. Mobile robot localization in indoor environment [ J ]. Pattern Recognition,1997, 30(1) :99-111.
3[3]SUZUKI S, KATO T, ASADA . An application of visionbased learning in RoboCup for a real robot with an omnidirectional vision system and world cup Ⅱ [ A ]. Proceeding of the Second RoboCup workshop, Lecture Notes in Arbificial Intelligence[ C ]. Berlin: Springer, 316 - 325.
4[4]ADORNI G, CAGONNI S, ENDERLE S, et al. Visionbased localization for mobile robots [ J ]. Robotics and Autonomous Systems,2001,36 ( 2 - 3 ): 103 - 119.
5[5]FOX D, BURGARD F, DELLAERT F, et al. Monte carlo localization:Efficient position estimation for mobile robots[ A]. Proceeding of AAAI99[ C]. Orlando: AAAI Press, 1999. 343- 349.
6[6]STROUPE A, SIKORSKI K, BALCH T. Constrain-based landmark localization [ A ]. Robocup 2002: Robot Soccer World Cup Ⅳ [ C ]. [ s. l. ]: Spring-Verlag, 2002.
7Thrun S,Bennewitz M,Burgard W,et al.Minerva:A second-generation museum tour-guide robot[A].Proceedings of the IEEE International Conference on Robotics and Automation[C].Piscataway,NJ,USA:IEEE,1999.1999-2005.
8Lowe D G.Distinctive image features from scale-invariant keypoints[J].International Journal of Computer Vision,2004,60(2):91-110.
9Moore A W.An Introductory Tutorial on KD-trees[R].UK:University of Cambridge,1991.
10Fischler M A,Bolles R C.Random sample consensus:A paradigm for model fitting with application to image analysis and automated cartography[J].Communication of the ACM,1981,24(6):381-395.
