3D Reconstruction of sub-sea assets using Simultaneous Localization and Mapping (SLAM)

In this project our goal is to facilitate the 3D reconstruction of assets that are found in the ocean bed for the purpose of monitoring the state of the asset, especially to assess whether there is corrosion or cracks in the equipment. Through the use of high-quality subsea imaging, we can obtain images of assets that can be visually inspected for corrosion and cracks. A 3D reconstruction of the asset would be a valuable tool to communicate the location of the detected regions of interest, as the 3D model can be tagged with positional markers that indicate the exact location of the damaged regions. In this project, we will produce a prototype of such a 3D reconstruction system. The partner organization will benefit from the system in that it will allow them to accelerate the discovery and documentation of the places where the assets exhibit corrosion or cracks.

Faculty Supervisor:

Oscar Meruvia-Pastor;Andrew Vardy

Student:

Mohammed Abdullhak

Partner:

qualiTEAS Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland