DocumentCode :
3154484
Title :
In situ AUV survey adaptation using through-the-sensor sonar data
Author :
Williams, David P. ; Vermeij, Arjan ; Baralli, Francesco ; Groen, Johannes ; Fox, Warren L J
Author_Institution :
NATO Undersea Res. Centre, La Spezia, Italy
fYear :
2012
fDate :
25-30 March 2012
Firstpage :
2525
Lastpage :
2528
Abstract :
An algorithm for the in situ adaptation of the survey route of an autonomous underwater vehicle (AUV) equipped with side-looking sonars is proposed. The algorithm immediately exploits the through-the-sensor data that is collected during the mission in order to ensure that quality data is collected everywhere in the area of interest. By introducing flexibility into the survey of the AUV, various limitations of pre-planned surveys are overcome. Experimental results demonstrate the benefit of the proposed approach in terms of higher area coverage in shorter mission times. The signal processing required by the algorithm is fast and computationally efficient such that real-time implementation is feasible. As proof, the proposed adaptive survey approach was implemented on an AUV and executed during a recent live scientific experiment at sea using real, in situ measured data. Results from this experiment are also shown.
Keywords :
autonomous underwater vehicles; radar signal processing; sonar; adaptive survey approach; autonomous underwater vehicle; in situ AUV survey adaptation; pre-planned surveys; quality data; side-looking sonars; signal processing; survey route; through-the-sensor sonar data; Correlation; Image quality; Signal processing algorithms; Sonar measurements; Synthetic aperture sonar; Underwater vehicles; AUV; Data collection; image quality; in situ adaptation; sonar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
ISSN :
1520-6149
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2012.6288430
Filename :
6288430
Link To Document :
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