DocumentCode :
2386062
Title :
Dam wall detection and tracking using a Mechanically Scanned Imaging Sonar
Author :
Kazmi, Wajahat ; Ridao, Pere ; Ribas, David ; Hernandez, E.
Author_Institution :
Dept. of Comput. Eng., Univ. of Girona, Girona, Spain
fYear :
2009
fDate :
12-17 May 2009
Firstpage :
3595
Lastpage :
3600
Abstract :
In dam inspection tasks, an underwater robot has to grab images while surveying the wall meanwhile maintaining a certain distance and relative orientation. This paper proposes the use of an MSIS (mechanically scanned imaging sonar) for relative positioning of a robot with respect to the wall. An imaging sonar gathers polar image scans from which depth images (range & bearing) are generated. Depth scans are first processed to extract a line corresponding to the wall (with the Hough transform), which is then tracked by means of an EKF (Extended Kalman Filter) using a static motion model and an implicit measurement equation associating the sensed points to the candidate line. The line estimate is referenced to the robot fixed frame and represented in polar coordinates (rho&thetas) which directly corresponds to the actual distance and relative orientation of the robot with respect to the wall. The proposed system has been tested in simulation as well as in water tank conditions.
Keywords :
Hough transforms; Kalman filters; dams; mobile robots; object detection; robot vision; sonar imaging; underwater vehicles; Hough transform; dam inspection tasks; dam wall detection; dam wall tracking; extended Kalman filter; mechanically scanned imaging sonar; polar image scans; underwater robot; water tank conditions; Cameras; Inspection; Remotely operated vehicles; Robot kinematics; Robot sensing systems; Robot vision systems; Robotics and automation; Service robots; Sonar detection; Underwater tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 2009. ICRA '09. IEEE International Conference on
Conference_Location :
Kobe
ISSN :
1050-4729
Print_ISBN :
978-1-4244-2788-8
Electronic_ISBN :
1050-4729
Type :
conf
DOI :
10.1109/ROBOT.2009.5152691
Filename :
5152691
Link To Document :
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