DocumentCode :
3172665
Title :
A measurement model for mobile robot localization using underwater acoustic images
Author :
Burguera, Antoni ; Oliver, Gabriel ; González, Yolanda
Author_Institution :
Dept. Mat. i Inf., Univ. de les Illes Balears, Palma de Mallorca, Spain
fYear :
2010
fDate :
13-16 Sept. 2010
Firstpage :
1
Lastpage :
4
Abstract :
Likelihood fields (LF) have been used in the past to perform localization. These approaches infer the LF from range data. However, an underwater Mechanically Scanned Imaging Sonar (MSIS) does not provide distances to the closest obstacles but echo intensity profiles. In this case, obtaining ranges involves processing the acoustic data. The proposal in this paper avoids the range extraction to build the LF. Instead of processing the acoustic images to obtain ranges and then using these ranges to infer a LF, this paper proposes the use of the acoustic image itself as a good approximation of the LF. The experimental results show the potential benefits of using this idea to define a measurement model to perform mobile robot localization.
Keywords :
mobile robots; sonar imaging; underwater acoustic communication; LF; echo intensity; likelihood fields; measurement model; mobile robot localization; underwater MSIS; underwater acoustic image; underwater mechanically scanned imaging sonar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Technologies and Factory Automation (ETFA), 2010 IEEE Conference on
Conference_Location :
Bilbao
ISSN :
1946-0740
Print_ISBN :
978-1-4244-6848-5
Type :
conf
DOI :
10.1109/ETFA.2010.5641294
Filename :
5641294
Link To Document :
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