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[1]W. Jeong and K. Lee, “CV-SLAM: A new ceiling vision-based SLAM technique,” In IEEE/RJS Int. Conf. on Intelligent Robots and Systems, 2005. [2]H. Myung, H.-M. Jeon, and W.-Y. Jeong, “Virtual Door Algorithm for Coverage Path Planning of Mobile Robot,” IEEE International Symposium on Industrial Electronics (ISIE), 2009. [3]V. Nguyen, A. Harati, A. Martinelli, and R. Seigwart, “Orthogonal SLAM: A step toward lightweight indoor autonomous navigation”, In Proceedings of IROS, 2006. [4]K. Murphy. “Bayesian map learning in dynamic environments”, In Proc. of the Conf. on Neural Information Processing Systems (NIPS), pages 1015-1021, Denver, CO, USA, 1999. [5]A. Doucet, J.F.G. de Freitas, K. Murphy, and S. Russel. “Rao-blackwellized particle filtering for dynamic bayesian networks”, Proc. of the Conf. on Uncertainty in Artificial Intelligence (UAI), 2000. [6]G. Grisetti, C. Stachniss, and W. Burgard, “Improved techniques for grid mapping with Rao-Blackwellized particle filters”, IEEE Transactions on Robotics, vol. 23, pp. 34-46, Feb 2007. [7]S. Thrun, W. Burgard, and D. Fox. “A real-time algorithm for mobile robot mapping with applications to multi-robot and 3D mapping,” In Proc. of the IEEE Interational Conference on Robotics and Automation (ICRA), 2000. [8]Y.-H Choi, T.-K. Lee, and S.-Y. Oh, “A line feature based SLAM with low grade range sensors using geometric constraints and active exploration for mobile robot”, Autonomous Robots, vol. 24, pp. 13-27, 2008. [9]P. Newman, J. Leonard, J. Tardos, and J. Neira, “Explore and Return: Experimental validation of real-time concurrent mapping and localization,” In Proc. of the IEEE Interational Conference on Robotics and Automation (ICRA), 2002. [10]S. Thrun, W. Burgard, D. Fox, “Probabilistic Robotics”, The MIT Press, 2005. [11]A. Eliazar and R. Parr. “Learning probabilistic motion models for mobile robots”, in International Conference on Machine Learning, 2004. [12]H. J. Sohn, and B. K. Kim, “An efficient localization algorithm based on vector matching for mobile robots using laser range finders,” Journal of Intelligent and Robotic Systems, vol. 51, pp. 461-488, 2007. [13]H. J. Sohn and B.K. Kim, “VecSLAM: An efficient vector-based SLAM algorithm for indoor environments”, Journal of Intelligent and Robotic Systems, vol. 56, pp. 301-318, 2009. [14]F. Lu, and E. Milios, “Robot pose estimation in unknown environments by matching 2D range scans,” Journal of Intelligent and Robotic Systems, vol. 18, pp.249-275, 1997. [15]G. A. Borges, and M. Aldon, “Line extraction in 2D range images for mobile robotics,” Journal of Intelligent and Robotic Systems, vol. 40, pp. 267-297, 2004. [16]http://cres.usc.edu/radishrepository/view-all.php [17]M. Montemerlo, S. Thrun, D. Koller, and B. Wegbreit. “FastSLAM: A factored solution to the simultaneous localization and mapping problem,” Proc. AAAI, 2002. [18]A. Eliazar and R. Parr. “DP-SLAM: Fast, robust simultaneous localization and mapping without predetermined landmarks”, In Proc. Of the Int. Conf. on Artificial Intelligence (IJCAI), 2003. [19]A. Eliazar and R. Parr. “DP-SLAM 2.0,” In Proc. ICRA, 2004. [20]W.-J. Kuo, S.-H. Tseng, J.-Y. Yu, and L.-C. Fu, “A hybrid approach to RBPF based SLAM with grid mapping enhanced by line matching”, In Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2009. [21]D. H¨ahnel, D. Schulz, and W. Burgard, “Mapping with mobile robots in populated environments,” In Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2009. [22]C. Schroter, H.-J. Bohme, H.-M. Gross, “Memory-efficient gridmaps in Rao-Blackwellized particle filters for SLAM using sonar range sensors,” In Proc. 3rd ECMR, 2007 [23]F. Dellaert, D. Fox, W. Burgrad, and S. Thrun. “Monte Carlo localization for robots”, Proc. of International Conference on Robotics and Automation (ICRA), 1999. [24]D. H¨ahnel, W. Burgard, D. Fox, and S. Thrun, “An efficient FastSLAM algorithm for generating maps of large-scale cyclic environment from raw laser range measurments”, In Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2003 [25]http://www.cs.duke.edu/~parr/dpslam/
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