DocumentCode
2517153
Title
AUV real-time acoustic vertical plane obstacle detection and avoidance
Author
Karabchevsky, Serge ; Braginsky, Boris ; Guterman, Hugo
Author_Institution
Dept. of Electro-Opt. Eng., Ben Gurion Univ. of the Negev, Beer-Sheva, Israel
fYear
2012
fDate
24-27 Sept. 2012
Firstpage
1
Lastpage
6
Abstract
Autonomous Underwater Vehicles (AUVs) operate in unknown underwater environments and take decisions based on sensor readings, without any link with a human operator. It is critical for the AUVs to be able to avoid submerged obstacles and to adapt to changes in the ocean floor terrain. A typical mission for an AUV is to inspect a given area using a side scan. It is crucial to maintain a straight line course during the inspection in order to ensure proper side scan sonar operation. This limits the obstacle avoidance to only the vertical plane. In this study, a real-time obstacle detection and avoidance algorithm that uses vertical plane oriented forward looking sonar is outlined. Experimental results that demonstrate the performance of the proposed method are presented.
Keywords
acoustic signal detection; automatic optical inspection; autonomous underwater vehicles; collision avoidance; real-time systems; seafloor phenomena; sonar imaging; underwater acoustic propagation; AUV; autonomous underwater vehicles; inspection; ocean floor terrain; real-time acoustic vertical plane obstacle avoidance algorithm; real-time acoustic vertical plane obstacle detection algorithm; sensor readings; side scan sonar operation; straight line course; submerged obstacle avoidance; underwater environments; vertical plane oriented forward looking sonar; Entropy; Floors; Histograms; Noise; Oceans; Sonar; Speckle; AUV; Obstacle avoidance; Sonar;
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.2012.6380750
Filename
6380750
Link To Document