Bounding uncertainty in EKF-SLAM: The robocentric local approach

Proceedings - IEEE International Conference on Robotics and Automation

Volumn 2006, Issue , 2006, Pages 430-435

  Martinez Cantin, Ruben ^a   Castellanos, José A ^a  

^a UNIVERSITY OF ZARAGOZA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; CONFORMAL MAPPING; CONSTRAINT THEORY; PROBLEM SOLVING; SENSORS; UNCERTAIN SYSTEMS;

LINEARIZATION ACCURACY; ROBOCENTRIC LOCAL APPROACH; ROBOCENTRIC LOCAL MAP SEQUENCING ALGORITHM; SENSOR UNCERTAINTY LEVEL CONSTRAINTS;

KALMAN FILTERING;

EID: 33845677320     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBOT.2006.1641749     Document Type: Conference Paper

References (15)

1. R. Smith, M. Self, and P. Cheeseman, "A Stochastic Map For Uncertain Spatial Relationships," in Robotics Research, 4th Int. Symposium, O. Faugeras and G. Giralt, Eds. The MIT Press, 1988, pp. 467-474.
2. Y. Bar-Shalom, X. R. Li, and T. Kirubarajan, Estimation with Applications to Tracking and Navigation. Wiley InterScience, 2001.
3. M. W. M. G. Dissanayake, P. Newman, S. Clark, H. F. Durrant-Whyte, and M. Csorba, "A Solution to the Simultaneous Localization and Map Building (SLAM) Problem," IEEE Trans. Robot. Automat., vol. 17, no. 3, pp. 229-241, 2001.
4. S. Julier and J. K. Uhlmann, "A Counter Example to the Theory of Simultaneous Localization and Map Buildin," in Proc. 2001 IEEE Int. Conf. on Robotics and Automation, Seoul, Korea, 2001, pp. 4238-4243.
5. J. A. Castellanos, J. Neira, and J. D. Tardós, "Limits to the Consistency of EKF-based SLAM," in 5th IFAC Symposium on Intelligent Autonomous Vehicles, Lisbon, July 2004.
6. M. A. Paskin, "Thin Junction Tree Filters for Simultaneous Localization and Mapping," in Int. Joint Conf. on Artificial Intelligence, G. Gottlob and T. Walsh, Eds. Morgan Kaufmann, 2003, pp. 1157-1164.
7. R. Martinez-Cantin and J. A. Castellanos, "Unscented SLAM for Large-Scale Outdoor Environments," in IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, 2005, pp. 328-333.
8. A. Doucet and N. de Freitas and K. Murphy and S. Russell, "RaoBlackwellised Particle Filtering for Dynamic Bayesian Networks," in Uncertainty in Artificial Intelligence, 2000.
9. S. Thrun, M. Montemerlo, D. Koller, B. Wegbreit, J. Nieto, and E. Nebot, "FastSLAM: An Efficient Solution to the Simultaneous Localization And Mapping Problem with Unknown Data Association," Journal of Machine Learning Research, 2004.
10. U. Frese, "Treemap: An O(logn) Algorithm for Simultaneous Localization and Mapping," in Spatial Cognition IV, C. Freksa, Ed. Springer Verlag, 2005, pp. 455-476.
11. J. D. Tardós, J. Neira, P. M. Newman, and J. J. Leonard, "Robust Mapping and Localization in Indoor Environments using Sonar Data," Int. J. Robotics Research, vol. 21, no. 4, pp. 311-330, 2002.
12. J. O'Keefe and L. Nadel, The Hippocampus as a Cognitive Map. Oxford University Press, 1978.
13. J. A. Castellanos and J. D. Tardós, Mobile Robot Localization and Map Building. A Multisensor Fusion Approach. Kluwer Academic Publishers, 1999.
14. J. Neira and J. D. Tardós, "Data Association in Stochastic Mapping Using the Joint Compatibility Test," IEEE Trans. Robot. Automat., vol. 17, no. 6, pp. 890-897, 2001.
15. J. Guivant and E. Nebot, "Optimization of the Simultaneous Localization and Map-Building Algorithm for Real-Time Implementation," IEEE Trans. Robot. Automat., vol. 17, no. 3, pp. 242-257, 2001.