[HTML][HTML] A state-of-the-art review of automated extraction of rock mass discontinuity characteristics using three-dimensional surface models

R Battulwar, M Zare-Naghadehi, E Emami… - Journal of Rock …, 2021 - Elsevier
In the last two decades, significant research has been conducted in the field of automated
extraction of rock mass discontinuity characteristics from three-dimensional (3D) models …

Utilizing Deep Learning for the Automated Extraction of Rock Mass Features from Point Clouds

R Battulwar, E Emami, M Zare, K Battulwar… - Geotechnical and …, 2024 - Springer
Given that traditional joint set identification faces challenges due to labor intensity, safety
concerns with accessing steep slopes, and limited sampling locations for measurements …

Automatic Extraction of Joint Characteristics from Rock Mass Surface Point Cloud Using Deep Learning

R Battulwar - 2021 - search.proquest.com
A methodology for a computerized recognition of joint sets on 3D point cloud models of rock
masses using deep learning is presented. The process starts with classifying joints on a 3D …

[PDF][PDF] Journal of Rock Mechanics and Geotechnical Engineering

R Battulwar, M Zare-Naghadehi, E Emami… - researchgate.net
abstract In the last two decades, significant research has been conducted in the field of
automated extraction of rock mass discontinuity characteristics from three-dimensional (3D) …