Efficient dense sonar surveys with an autonomous underwater vehicle
Author(s) -
David P. Williams,
Michel Couillard
Publication year - 2013
Publication title -
proceedings of meetings on acoustics
Language(s) - English
Resource type - Conference proceedings
ISSN - 1939-800X
DOI - 10.1121/1.4792756
Subject(s) - sonar , computer science , underwater , flexibility (engineering) , real time computing , a priori and a posteriori , exploit , process (computing) , data collection , track (disk drive) , adaptation (eye) , constraint (computer aided design) , data quality , simulation , artificial intelligence , engineering , geography , metric (unit) , philosophy , statistics , operations management , mathematics , computer security , archaeology , epistemology , operating system , mechanical engineering , physics , optics
An algorithm for the in situ adaptation of the survey route of an autonomous underwater vehicle (AUV) equipped with side-looking sonars was recently proposed. This algorithm immediately exploits the through-the-sensor data that is collected during a 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. In particular, the need to re-deploy the AUV (to fill gaps in the data coverage) is obviated. In turn, the time and costs of the data-collection mission are significantly reduced. In this work, we improve the aforementioned algorithm by introducing an additional constraint to the survey track-selection process. This modification significantly increases the efficiency of a survey by further reducing both transit time and the overall number of tracks executed. In particular, the revised algorithm more closely approximates the optimal survey route that would be...
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom