DocumentCode :
2336127
Title :
The element-based method - theory and its application to bayesian search and tracking -
Author :
Furukawa, Tomonari ; Durrant-Whyte, Hugh F. ; Lavis, Benjamin
Author_Institution :
Univ. of New South Wales, Sydney
fYear :
2007
fDate :
Oct. 29 2007-Nov. 2 2007
Firstpage :
2807
Lastpage :
2812
Abstract :
This paper presents the element-based method, which can be used for recursive Bayesian estimation (RBE) in robotic operations such as search and tracking involving moving targets. The use of shape functions to define a set of irregularly shaped elements allows the target PDF to be continuously, and thus accurately, represented over the target space. A comparison with the grid-based method first shows that the element-based method requires less than 10% of the number of nodes to achieve the same accuracy. The application of the element-based method to marine search-and-rescue (SAR) scenarios then demonstrates its ability for effective SAR whilst maintaining collected information.
Keywords :
Bayes methods; recursive estimation; robots; target tracking; element-based method; grid-based method; marine search-and-rescue; recursive Bayesian estimation; robotic operations; shape functions; target tracking; Australia; Bayesian methods; Gaussian processes; Intelligent robots; Particle tracking; Recursive estimation; Shape; State estimation; Target tracking; USA Councils;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems, 2007. IROS 2007. IEEE/RSJ International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-0912-9
Electronic_ISBN :
978-1-4244-0912-9
Type :
conf
DOI :
10.1109/IROS.2007.4399148
Filename :
4399148
Link To Document :
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