Machine vision system for the control of tunnel boring machines

Michael Habacher; Paul O'Leary; Matthew Harker; Johannes Golser

doi:10.1117/12.2003847

6 March 2013 Machine vision system for the control of tunnel boring machines

Michael Habacher, Paul O'Leary, Matthew Harker, Johannes Golser

Proceedings Volume 8661, Image Processing: Machine Vision Applications VI; 86610G (2013) https://doi.org/10.1117/12.2003847
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States

Abstract

This paper presents a machine vision system for the control of dual-shield Tunnel Boring Machines. The system consists of a camera with ultra bright LED illumination and a target system consisting of multiple retro-reflectors. The camera mounted on the gripper shield measures the relative position and orientation of the target which is mounted on the cutting shield. In this manner the position of the cutting shield relative to the gripper shield is determined. Morphological operators are used to detect the retro-reflectors in the image and a covariance optimized circle fit is used to determine the center point of each reflector. A graph matching algorithm is used to ensure a robust matching of the constellation of the observed target with the ideal target geometry.

Citation Download Citation

Michael Habacher, Paul O'Leary, Matthew Harker, and Johannes Golser "Machine vision system for the control of tunnel boring machines", Proc. SPIE 8661, Image Processing: Machine Vision Applications VI, 86610G (6 March 2013); https://doi.org/10.1117/12.2003847

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