Abstract
The process of scaling and support installation in recently blasted tunnels is one of the most hazardous aspects of the underground construction process. An algorithm is developed that can process point clouds captured via LiDAR which can identify the rock mass discontinuities and perform a kinematic key-block analysis. Points clouds containing nine million points can be processed in under one second and the algorithm operates autonomously requiring no human input. The resultant inputs can provide insight into the underlying rock mass and its geo-mechanical behaviour to an entering scaling crew to aid in risk mitigation.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
