Workspace Enlargement and Joint Trajectory Optimisation of a (6+3)-dof 3-[R(RR-RRR)SR] Kinematically Redundant Hybrid Parallel Robot
In this presentation by Guillaume Beaulieu, of the Computer and Vision Systems Laboratory, the way underground tunnels are usually subject to water ingress that needs to be detected and monitored in time to follow its evolution will be explored.
Abstract of the presentation
Underground tunnels are usually subject to water ingress that needs to be detected and monitored in time to follow its evolution. The first part of this study describes a setup to help detect and locate humidity and water ingress from a moving vehicle inside the tunnel being inspected. The second part explains how to monitor the evolution over the years of the problematic wet areas detected by comparing the inspection data obtained over the years.
This issue is technically addressed by acquiring thermal infrared movies as the vehicle is moving. Advanced infrared computer vision analysis is used to detect the wet or humid areas of the soil and tunnel’s walls. The exact location along the tunnel is determined from geodetic markers installed at regular and known intervals inside the tunnel. They are identified by computer vision analysis from the video stream in the infrared spectrum.
The presentation will be given in French and the slides will be in English.
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