By Topic

Experiments using a laser-based transducer and automated analysis techniques for pipe inspection

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Duran, O. ; Dept. of Mech. Eng., King''s Coll., London, UK ; Althoefer, K. ; Seneviratne, L.D.

This paper presents the experimental results of an automated sensor system for the inspection of tubular structures. The method is applied to the autonomous inspection of sewers overcoming the drawbacks of standard CCTV-based inspection systems. The transducer consists of a low-cost laser-based profiler attached to a standard CCTV camera. Image analysis techniques and artificial neural networks are used to automatically locate and classify the defects in the pipe using the intensity distribution in the acquired camera images. A wide range of tests using data from different types of pipes in realistic conditions have been conducted and are presented here. It is shown that the proposed inspection approach is particularly well suited to complement existing CCTV inspection systems, providing automated and reliable detection of pipe defects in the millimeter range.

Published in:

Robotics and Automation, 2003. Proceedings. ICRA '03. IEEE International Conference on  (Volume:2 )

Date of Conference:

14-19 Sept. 2003