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 :
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