Intelligent localisation and visualisation system for in-pipe inspection platform
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Date
2017-06
Authors
Tan, Wei Jun
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Abstract
Culvert is a special concrete pipe which is generally utilized as a cross channel for
ditch alleviation and to pass water under the road. Inspection for corrosion or damage of the
culvert is an important aspect of safety and using an in-pipe inspection robot is the most
reliable and convenient way of doing this. It is necessary to obtain and predict the location
of the damaged area and have a real time visualization to achieve this capability. This project
is aimed at presenting the design, development and implementation of a localization and
visualization system for culvert inspection platform. In this project, a system is introduced
to acquire and display real-time video streaming so it can be used to determine the condition
of large diameter culvert (180mm-450mm). An inspection camera together with a headlight
are mounted on a swivel head attached to a body (robot) which has a wheel to enable it to
move forward or backward. IMU module is attached to obtain several data. Web browser is
the platform to visualize and control the movement of robot.