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
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