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