Skip to main content

The AusIMM office is closed for the end of year break until Monday 6 January 2025. Please note members can pay their renewals online at ausimm.com/renew, and hardcopy publication orders will be processed on our return. We wish you a safe and happy festive season.

Conference Proceedings

Fifth International Future Mining Conference 2021

Conference Proceedings

Fifth International Future Mining Conference 2021

PDF Add to cart

Mobile laser scanning for automated point cloud registration, object detection and structural mapping in mining

Light detection and ranging (LiDAR), popularly known as laser scanning has revolutionised the way of mapping and monitoring underground and open cut mine operations. Laser scanners offer the flexibility of being mounted on a mobile platform, such as drones, ground vehicles or wearable backpacks, or can be used in a static manner to produce a digital twin of the scanned environment in the form of a 3D point cloud. The obtained digital data usually has ample spatial resolution required for various mining applications; and offers the flexibility of remote data processing thereby reducing safety risks associated with the site. With recent developments in simultaneous localisation and mapping (SLAM) based mobile laser scanning, large underground mine network became possible to mapped holistically in a time-efficient manner with sufficient accuracy (Raval et al, 2019).
This study illustrates three important application cases of LiDAR scan in mines which include:
1. automated georeferencing and coregistration of point clouds in GNSS denied underground mines
2. automated object detection
3. automated structural discontinuity mapping.
Return to parent product
  • Mobile laser scanning for automated point cloud registration, object detection and structural mapping in mining
    PDF
    This product is exclusive to Digital library subscription
PD Hours
Approved activity
  • Published: 2021
  • Pages: 4
  • PDF Size: 0.942 Mb.
  • Unique ID: P-01598-D5B9P7

Our site uses cookies

We use these to improve your browser experience. By continuing to use the website you agree to the use of cookies.