Rough computational methods on reducing costs of computation in Markov Localization for mobile robots

Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Volumn 2, Issue , 2002, Pages 1226-1230

  Wu, Qingxiang ^a   Bell, David A ^a   Chen, Zhenrong ^b   Yan, Shan ^b   Huang, Xi ^b   Wu, Hongtu ^b  

^a UNIVERSITY OF ULSTER   (United Kingdom)

^b FUJIAN NORMAL UNIVERSITY   (China)

Author keywords

Localization; Mobile robot; Rough computation

Indexed keywords

COMPUTATIONAL COMPLEXITY; COMPUTATIONAL METHODS; COMPUTER SIMULATION; MARKOV PROCESSES; MATRIX ALGEBRA; POSITION MEASUREMENT; PROBABILITY DENSITY FUNCTION; REAL TIME SYSTEMS; SENSORS; STATE SPACE METHODS; UNCERTAIN SYSTEMS;

MARKOV LOCALIZATION; ODOMETRY; POSITION ESITMATION; ROUGH COMPUTATIONAL METHOD;

MOBILE ROBOTS;

EID: 0036945989     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

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3. [Wu and Bell, 2001] Q.X. Wu & D.A. Bell, Problems and Solutions on Makov Localization for Mobile Robot, in the book of Computational Intelligence for Modelling & Control, Idea Group Publishing, USA (2001), p543-551.
4. [Fox, et al, 1999] D. Fox, W. Burgard, and S. Thrun, Markov Localization For Mobile Robots in Dynamic Environments. Journal of Artificial Intelligence Research 11(1999) 391-427.
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8. [Wu and Bell, 2000] Q.X. Wu, D.A. Bell, 2000 Related Value Set Algorithm for Robot to Distinguish Image, Proceedings of the 3rd World Congress on Intelligent Control and Automation, © 2000 IEEE, VII, p1546-1550.