Title :
Real-time image processing and mapping algorithm for forward-looking sonar of AUV
Author :
Lei Gao ; Hongli Xu
Author_Institution :
State Key Lab. of Robot., Shenyang Inst. of Autom., Shenyang, China
Abstract :
The key of autonomous underwater vehicle to perform a variety of missions in complex sea environment was to accurately distinguish obstacle and mapping in real time. In this paper, the information of obstacle was segmented from sonar image by image filter, image enhancement, fuzzy clustering algorithm and morphology method. Then the coordinate system was established, the barrier information of each frame was projected onto the entire barrier map. Finally, the experiment on the lake proves that the methods of the image processing and mapping algorithm are feasibility.
Keywords :
autonomous underwater vehicles; image enhancement; image segmentation; sonar imaging; AUV; autonomous underwater vehicle; coordinate system; forward looking sonar; fuzzy clustering algorithm; image enhancement; image filter; mapping algorithm; morphology method; real time image processing; sonar image; Buildings; Image processing; Noise; Real-time systems; Robots; Sonar; Sonar navigation; Autonomous underwater vehicle; forward-looking sonar; mapping; sonar image processing;
Conference_Titel :
Oceans - San Diego, 2013
Conference_Location :
San Diego, CA