Abstract
In this paper we consider the problem of active mobile robot localization with range sensors in outdoor environments. In contrast to passive approaches our approach actively selects the orientation of the laser range finder to improve the localization results. It applies a particle filter to estimate the full sixdimensional state of the robot. To represent the environment we utilize multi-level surface maps which allow the robot to represent vertical structures and multiple levels. To efficiently calculate the optimal orientation for the range scanner, we apply a clustering operation on the particles and only evaluate potential orientations based on these clusters. Experimental results obtained with a mobile robot in an outdoor environment indicate that the active control of the range sensor leads to more efficient localization results.
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References
R. Kümmerle, R. Triebel, P. Pfaff, and W. Burgard. Monte carlo localization in outdoor terrains using multi-level surface maps. In Proc. of the International Conference on Field and Service Robotics (FSR), Chamonix, France, 2007.
R. Triebel, P. Pfaff, and W. Burgard. Multi level surface maps for outdoor terrain map** and loop closing. In Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2006.
J. Bares, M. Hebert, T. Kanade, E. Krotkov, T. Mitchell, R. Simmons, and W. R. L. Whittaker. Ambler: An autonomous rover for planetary exploration. IEEE Computer Society Press, 22(6): 18–22, 1989.
M. Hebert, C. Caillas, E. Krotkov, I.S. Kweon, and T. Kanade. Terrain map** for a roving planetary explorer. In Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA), pages 997–1002, 1989.
S. Lacroix, A. Mallet, D. Bonnafous, G. Bauzil, S. Fleury and; M. Herrb, and R. Chatila. Autonomous rover navigation on unknown terrains: Functions and integration. International Journal of Robotics Research, 21(10–11): 917–942, 2002.
C. Parra, R. Murrieta-Cid, M. Devy, and M. Briot. 3-d modelling and robot localization from visual and range data in natural scenes. In 1st International Conference on Computer Vision Systems (ICVS), number 1542 in LNCS, pages 450–468, 1999.
L. P. Kaelbling, A. R. Cassandra, and J. A. Kurien. Acting under uncertainty: Discrete Bayesian models for mobile-robot navigation. In Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), Osaka, Japan, 1996.
S. Koenig and R. Simmons. Xavier: A robot navigation architecture based on partially observable markov decision process models. In D. Kortenkamp, R. Bonasso, and R. Murphy, editors, Artificial Intelligence Based Mobile Robotics: Case Studies of Successful Robot Systems, pages 91–122. MIT Press, 1998.
P. Jensfelt and S. Kristensen. Active global localisation for a mobile robot using multiple hypothesis tracking. IEEE Transactions on Robotics and Automation, 17(5): 748–760, October 2001.
A. Davison and N. Kita. 3d simultaneous localisation and map-building using active vision for a robot moving on undulating terrain. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Kauai. IEEE Computer Society Press, December 2001.
J. M. Porta, J. J. Verbeek, and B. J. A. Kröse. Active appearance-based robot localization using stereo vision. Auton. Robots, 18(l): 59–80, 2005.
D. Fox, W. Burgard, and S. Thrun. Active markov localization for mobile robots. Journal of Robotics & Autonomous Systems, 25: 195–207, 1998.
F. Dellaert, D. Fox, W. Burgard, and S. Thrun. Monte Carlo localization for mobile robots. In Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA), 1999.
A. Doucet, N. de Freitas, and N. Gordan, editors. Sequential Monte-Carlo Methods in Practice. Springer Verlag, 2001.
L. J. Heyer, S. Kruglyak, and S. Yooseph. Exploring expression data: Identification and analysis of coexpressed genes. Genome Res., 9(11): 1106–1115, 1999.
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Kümmerle, R., Pfaff, P., Triebel, R., Burgard, W. (2007). Active Monte Carlo Localization in Outdoor Terrains Using Multi-level Surface Maps. In: Berns, K., Luksch, T. (eds) Autonome Mobile Systeme 2007. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74764-2_5
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DOI: https://doi.org/10.1007/978-3-540-74764-2_5
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