Combined Grid and Feature-Based Mapping of Metal Structures with Ultrasonic Guided Waves

Othmane-Latif Ouabi1, Ayoub Ridani2, Pascal Pomarede3, Neil Zeghidour4, Nico F. Declercq5, Matthieu Geist6, Cedric Pradalier3

  • 1UMI 2958 GT-CNRS
  • 2Georgia Institute of Technology
  • 3GeorgiaTech Lorraine
  • 4Google Brain
  • 5Georgia Institute of Technology, Atlanta, Georgia 30332–0250
  • 6Université de Lorraine

Details

10:55 - 11:00 | Wed 25 May | Room 116 | WeA13.10

Session: Industrial and Environmental Robotics and Monitoring

Abstract

The ultrasonic mapping of plate-based facilities is an essential step towards the robotic inspection of large metal structures such as storage tanks or ship hulls. This work proposes a novel framework that exploits ultrasonic echoes to recover grid-based and feature-based spatial representations jointly. We aim to improve on a previous mapping method subject to errors due to interference, and which provides plate geometry estimates without uncertainty assessment. The grid can represent, all along the mapping process, both areas identified as inside or outside the current plate and areas whose state is still unknown, making it is suitable e.g. for detecting a change of plate, or for use in a later active-sensing strategy. We also leverage the resulting spatial information to filter out candidate plate edges that are no longer relevant, mitigating the detrimental effect of interference. We test the approach in simulation, with acoustic data acquired manually and with a real robot. Results show that it is effective for building combined map representations and robust to echo misdetection, contrary to a more standard mapping approach.