OCGC Seminar - Extracting Geophysical Information from 3D Images Acquired on a Mobile Underground Vehicle

 

Brian Lynch 
Postdoctoral Fellow,
Department of Earth Sciences, 
Carleton University   

Thursday, March 9th 
11:30 a.m.
3120 HP 

 

Abstract 

This research focuses on the extraction of rock face properties from 3D images acquired on a mobile device while accounting for errors due to uncertainty. The use of LiDAR (Light Detection And Ranging) has become invaluable for many applications in geology including surveying and extracting geophysical properties of rock faces, surpassing manual techniques in accuracy and efficiency. The majority of such applications rely on tripod-mounted stationary devices that provide high resolution 3D images with negligible error. However, stationary LiDAR devices require careful setup and calibration, and may not be a feasible option in locations that are difficult to access by a geologist or surveyor. Instead, a mobile system may be used to scan rock faces and underground tunnels using on-board LiDAR devices. This approach is much more efficient and versatile since the system may be mounted on a ground or air vehicle, deployed faster, and cover a wider region of interest. The primary disadvantages when using mobile LiDAR devices are lower resolution within the 3D image and higher point error, especially when applied to underground environments where no GPS (global positioning system) information is available. Therefore, innovative methods are required to process the data and extract reliable geophysical information such as strike and dip, surface roughness, or rock face displacements. This seminar will discuss the process of mobile scanning in detail and present methods being used to overcome the inherent challenges.