Shadow-Based Operation Assistant for a Pipeline-Inspection Robot Using a Variance Value of the Image Histogram

Abstract

This paper presents a shadow-based operation assistant method for a pipeline-inspection robot using a variance value of the image histogram. By displacing the position of the head camera relative to that of the illuminator, a crescent-shaped shadow appears in the images captured in a bent pipe. The size, position, and orientation of the shadow depend on the robot’s orientation around the pipe axis. By applying the pathway direction of the bent pipe obtained from the image processing to the rolling movement, the robot can automatically adjust its roll-orientation. Experiments were conducted in four types of pipeline environments to verify the autonomous navigation. These include a complex winding pipeline, a long straight pipe, and pipelines with replicated dust and dirt.