A moving grid cell based MCL algorithm for mobile robot localization

2009 IEEE International Conference on Robotics and Biomimetics, ROBIO 2009

Volumn , Issue , 2009, Pages 2445-2450

  Wang, Yuefeng ^a   Wu, Dan ^a   Seifzadeh, Sepideh ^a   Chen, Jingxi ^a  

^a UNIVERSITY OF WINDSOR   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COSTS; GLOBAL LOCALIZATION; MCL ALGORITHM; MOBILE ROBOT LOCALIZATION; MONTE CARLO LOCALIZATION; MOVING GRID;

BIOMIMETICS; COST REDUCTION; MOBILE ROBOTS; ROBOT APPLICATIONS; ROBOTICS;

ALGORITHMS;

EID: 77951428580     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBIO.2009.5420461     Document Type: Conference Paper

References (14)

1. D.Fox, W.Burgard, F.Dellaert and S.Thrun, Monte Carlo Localization: Efficient Position Estimation for Mobile Robots.In: Proc. AAAI- 99, Orlando, USA (1999).
2. W.Burgard, D.Fox, D.Hennig, and T.Schmidt, Estimation the absolute position of a mobile robot using position probability grids. In: Proc. AAAI-96,Oregon, USA(1996)
3. P.Jensfelt and S.Kristensen,Active global localization for a mobile robot using multiplehypothesis tracking. IEEE Trans.Robotics Automation. Vol.17,No.5,Page(s):748-760(2001)
4. H.Höse and H.L.Akin. The Reverse Monte Carlo localization algorithm. Robotics and Autonomous Systems ,55 ,Pages(s):480-489 (2007)
5. S.Thrun, W.Burgard and D.Fox. Probabilistic Robotics. The MIT Press.(2005)
6. D.Rubin. Using the SIR algorithm to simulate posterior distributions. Bayesian Statistics 3. Oxford University Press.(1988)
7. D.Fox. Adapting the Sample Size in Particle Filters Through KLDSampling. International Journal of Robotics Research.(2003)
8. R.Luo and B.Hong. Coevolution Based Adaptive Monte Carlo Localizaton( CEAMCL). International Journal of Advanced Robotic Systems, Volume 1,Number 3, Page(s):183-190. (2004)
9. S. Thrun, D. Fox, and W. Burgard. Monte carlo localization with mixture proposal distribution. In Proceedings of the AAAI National Conference on Artificial Intelligence, Austin, TX.(2000)
10. A.Milstein, J.N.Sánchez and E.T.Willismson. Robust Global Localization Using Clustered Particle Filtering. In AAAI-02 proceddings.(2002)
11. S.Thrun, D.Fox, W.Burgard and F.Dellaert. Robust Monte Carlo localization for mobile robots. Artifical Intelligence 128, Page(s): 99-141.(2001)
12. The LEGO Group.http://mindstorms.lego.com/ (2009)
13. D.Fox, W.Burgard and S.Thrun. Active markov localization for mobile robots, Robotics and Autonomous Systems(1998)
14. D.Fox,W.Burgard, H.Kruppa and S.Thrun.A Probabilistic Approach to Collaborative Multi-Robot Localization. Autonomous Robots. Volume 8, Number 3. Page(s):325-344.(2000)