Title :
Development of a Bayesian recursive algorithm to find free-spaces for an intelligent wheelchair
Author :
Nguyen, Anh V. ; Su, Steven ; Nguyen, Hung T.
Author_Institution :
Fac. of Eng. & Inf. Technol., Univ. of Technol., Sydney, Broadway, NSW, Australia
fDate :
Aug. 30 2011-Sept. 3 2011
Abstract :
This paper introduces a new shared control strategy for an intelligent wheelchair using a Bayesian recursive algorithm. Using the local environment information gathered by a laser range finder sensor and commands acquired through a user interface, a Bayesian recursive algorithm has been developed to find the most appropriate free-space, which corresponds to the highest posterior probability value. Then, an autonomous navigation algorithm will assist to manoeuvre the wheelchair in the chosen free-space. Experiment results demonstrate that the new method provides excellent performance with great flexibility and fast response.
Keywords :
belief networks; optical sensors; probability; recursive estimation; user interfaces; wheelchairs; Bayesian recursive algorithm; autonomous navigation algorithm; free-space; intelligent wheelchair; laser range finder sensor; local environment information; posterior probability value; user interface; Bayesian methods; Conferences; Heuristic algorithms; Navigation; User interfaces; Wheelchairs; Algorithms; Artificial Intelligence; Bayes Theorem; Biomedical Engineering; Computers; Equipment Design; Humans; Models, Statistical; Probability; Reproducibility of Results; Robotics; Signal Processing, Computer-Assisted; User-Computer Interface; Wheelchairs;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6091832