C. Chen and H. Wang


  1. [1] K. Konolige, D. Fox, B. Limketkai, J. Ko, & B. Stewart,Map merging for distributed robot navigation, Proc. Int. Conf. Intelligent Robots and Systems, Las Vegas, USA, 2003, 212–217.
  2. [2] M. Kass, A. Witkin, & D. Terzopoulos, Snakes: active contour models, International Journal of Computer Vision, 1(4), 1988, 321–331. doi:10.1007/BF00133570
  3. [3] S. Thrun, W. Burgard, & D. Fox, Probabilistic robotics (Boston: MIT Press, 2005).
  4. [4] R. Smith, M. Self, & P. Cheeseman, Autonomous robot vehicles (New York: Springer Verlag, 1990).
  5. [5] M. Montemerlo & S. Thrun, Simultaneous localization andmapping with unknown data association using FastSLAM,Proc. Int. Conf. Robotics and Automation, Taipei, ROC, 2003.
  6. [6] F. Lu, Globally consistent range scan alignment for environment mapping, Autonomous Robots, 4(4), 1997, 333–349. doi:10.1023/A:1008854305733
  7. [7] S. Thrun, Y. Liu, D. Koller, A.Y. Ng, Z. Ghahramani, &H. Durrant-Whyte, Simultaneous localization and mappingwith sparse extended information filters, International Journal of Robotics Research, 23(7–8), 2004, 693–716. doi:10.1177/0278364904045479
  8. [8] M.A. Paskin, Thin junction tree filters for simultaneous localization and mapping, Proc. Int. Joint Conf. Artificial Intelligence, Acapulco, Mexico, 2003, 1157–1164.
  9. [9] U. Frese, A proof for the approximate sparsity of SLAM information matrices, Proc. Int. Conf. Robotics and Automation, Barcelona, Spain, 2005, 331–337.
  10. [10] T. Duckett, S. Marsland, & J. Shapiro, Learning globally consistent maps by relaxation, Proc. Int. Conf. Robotics and Automation, San Francisco, USA, 2000, 3841–3846.
  11. [11] U. Frese, P. Larsson, & T. Duckett, A multilevel relaxation algorithm for simultaneous localisation and mapping, IEEE Trans. Robotics, 21(2), 2005, 196–207. doi:10.1109/TRO.2004.839220
  12. [12] M. Bosse, P.M. Newman, J.J. Leonard, & S. Teller, SLAMin large-scale cyclic environments using the Atlas framework, International Journal of Robotics Research, 23(12), 2004, 1113–1139. doi:10.1177/0278364904049393
  13. [13] J.D. Tardós, J. Neira, P.M. Newman, & J.J. Leonard, Robust mapping and localization in indoor environments using sonar data, International Journal of Robotics Research, 21(4), 2002, 311–330. doi:10.1177/027836402320556340
  14. [14] C. Estrada, J. Neira, & J.D.Tardós, Hierarchical SLAM: real-time accurate mapping of large environments, IEEE Trans. Robotics, 21(4), 2005, 588–596. doi:10.1109/TRO.2005.844673
  15. [15] W. Triggs, P. McLauchlan, R. Hartley, & A. Fitzgibbon, Bundle adjustment—a modern synthesis, in W. Triggs, A. Zisserman, & R. Szeliski (Eds.), Vision algorithms: theory and practice (Berlin: Springer Verlag, 2000) 167–193.
  16. [16] W.S. Wijesoma, K.W. Lee, & J. Ibanez Guzmán, Motion constrained simultaneous localization and mapping in neighborhood environments, Proc. Int. Conf. Robotics and Automation, Barcelona, Spain, 2005, 344–349.
  17. [17] S.M. Oh, S. Tariq, B.N. Walker, & F. Dellaert, Map based priors for localization, Proc. Int. Conf. Intelligent Robots and Systems, Sendai, Japan, 2004, 2179–2184.
  18. [18] C. Xu & J.L. Prince, Snakes, shapes, and gradient vector flow, IEEE Trans. Image Processing, 7(3), 1998, 359–369.
  19. [19] A. Howard, D.F. Wolf, & G.S. Sukhatme, Towards 3D mapping in large urban environments, Proc. Int. Conf. Intelligent Robots and Systems, Las Vegas, USA, 2003, 419–424.
  20. [20] H. Zho & R. Shibasaki, Reconstructing urban 3D model using vehicle-borne laser range scanners, Proc. 3rd Int. Conf. on 3-D Digital Imaging and Modeling, Québec City, Canada, 2001, 349–356. doi:10.1109/IM.2001.924475
  21. [21] M. Montemerlo & S. Thrun, Large-scale robotic 3-D mapping of urban structures, Proc. Int. Symp. on Experimental Robotics, Singapore, 2004.

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