Bearing only mobile robots' localization: Observability and formulation using SIS particle filters

2011 International Conference on Communications, Computing and Control Applications, CCCA 2011

Volumn , Issue , 2011, Pages

  Hossein Mirabdollah, M ^a   Mertsching, Baerbel ^a  

^a UNIVERSITY OF PADERBORN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BEARING ONLY MEASUREMENT; BEARING-ONLY; LOCALIZATION PROBLEMS; PARTICLE FILTER; POSITION ESTIMATION; RANGE MEASUREMENTS; VISION ROBOT;

BEARINGS (STRUCTURAL); DISTRIBUTED COMPUTER SYSTEMS; MOBILE ROBOTS; NONLINEAR FILTERING; OBSERVABILITY; TARGET TRACKING;

COMPUTER VISION;

EID: 80054828838     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCCA.2011.6031539     Document Type: Conference Paper

References (13)

1. G. Cen, N. Matsuhira, J. Hirokawa, H. Ogawa, and I. Hagiwara. Mobile robot global localization using particle filters. In International Conference on Control, Automation and Systems, 2008. ICCAS 2008, pages 710-713, 2008.
2. N.J. Gordon, D.J. Salmond, and A.F.M. Smith. Novel approach to nonlinear/non-Gaussian Bayesian state estimation. In IEE Proceedings, volume 140, pages 107-113, 1993.
3. S. Hanba. On the Uniform Observability of Discrete-Time Nonlinear Systems. IEEE Transactions on Automatic Control, 54(8):1925-1928, 2009.
4. R. Hermann and A.J. Krener. Nonlinear controllability and observability. IEEE Transactions on Automatic Control, 22(5):728-740, 1977.
5. S. Kwon, K. Yang, and S. Park. An effective kalman filter localization method for mobile robots. In Proc. of the IEEE International Conference on Intellligent Robots and Systems (IROS 2006), 2006.
6. S. Kwon, K. Yang, S. Park, and Y. Ryuh. Robust mobile robot localization with combined kalman filter-perturbation estimation. In Proc. of the IEEE International Conference on Intellligent Robots and Systems (IROS 2005), 2005.
7. K.W. Lee, W.S. Wijesoma, and IG Javier. On the observability and observability analysis of slam. In 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 3569 - 3574, 2006.
8. L.D.L. Perera and Eric Nettleton. On the nonlinear observability and the information form of the slam problem. In The 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009.
9. K. Rieger, K. Schlacher, and J. Holl. On the observability of discretetime dynamic systems-A geometric approach. Automatica, 44(8):2057-2062, 2008.
10. S. Se, D. Lowe, and J. Little. Vision-based mobile robot localization and mapping using scale-invariant features. In IEEE International Conference on Robotics and Automation, 2001.
11. S. Thrun, D. Fox, W. Burgard, and F. Dellaert. Robust monte-carlo localization for mobile robots. Artificial Intelligence, 128(1 - 2):99-141, 2000.
12. J. Woo, Y.J. Kim, J. Lee, and M.T. Lim. Localization of Mobile Robot using Particle Filter. In International Joint Conference SICE-ICASE, 2006, pages 3031-3034, 2006.
13. Lei Zhang, Rene Zapata, and Pascal Lepinay. Self-Adaptive Monte Carlo for Single-Robot and Multi-Robot Localization. In Proceedings of the IEEE International Conference on Automation and Logistics, 2009.