DocumentCode :
2516858
Title :
Autonomous identification planning for mine countermeasures
Author :
Wiig, Martin Syre ; Krogstad, Thomas R. ; Midtgaard, Øivind
Author_Institution :
Norwegian Defence Res. Establ., Forsvarets Forskningsinstitutt FFI, Kjeller, Norway
fYear :
2012
fDate :
24-27 Sept. 2012
Firstpage :
1
Lastpage :
8
Abstract :
This paper presents a concept and algorithms to detect, classify and identify mine-like objects within a single mission with an autonomous underwater vehicle. The autonomous mine hunting concept has been developed for the HUGIN series of vehicles. First, the operation area is surveyed either with a synthetic aperture sonar or a side-scanning sonar. During the survey, mine-like objects are detected and classified in the data using algorithms for automatic target recognition. When the survey is complete, a framework for autonomy initiates a fusion of the targets and starts the automatic planning of a mission plan for target identification. The autonomous mine hunting concept is a part of the development of a framework for advanced autonomy on HUGIN, the HUGIN autonomy layer. Implementation of this framework will reduce the risk of long-term AUV missions, and will provide intelligent vehicle behavior not only to re-inspect interesting objects and areas, but also to preserve vehicle safety, navigational accuracy and mission goals.
Keywords :
autonomous underwater vehicles; identification; marine safety; mobile robots; object detection; oceanographic techniques; sonar detection; sonar target recognition; synthetic aperture sonar; telerobotics; AUV missions; HUGIN autonomy layer; HUGIN vehicle series; automatic target recognition; autonomous identification planning; autonomous mine hunting concept; autonomous underwater vehicle; intelligent vehicle behavior; mine countermeasures; mine-like objects classification; mine-like objects detection; mine-like objects identification; mission plan; navigational accuracy; side-scanning sonar; synthetic aperture sonar; target identification; vehicle safety; Cameras; Genetic algorithms; Planning; Sonar measurements; Synthetic aperture sonar; Vehicles; Autonomous underwater vehicles; automatic target recognition; mine counter measures; optical identification; path planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Autonomous Underwater Vehicles (AUV), 2012 IEEE/OES
Conference_Location :
Southampton
ISSN :
1522-3167
Print_ISBN :
978-1-4577-2055-0
Electronic_ISBN :
1522-3167
Type :
conf
DOI :
10.1109/AUV.2012.6380733
Filename :
6380733
Link To Document :
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