| Detecting Potential Rockfalls In Open Pit Mines Based On UAV Point Clouds |
| Paper ID : 1198-SMPR |
| Authors: |
|
Seyede Mahdieh Yousefi1, Hossein Arefi *1, Abbas Bahroudi2 1Dept. of Surveying and Geomatics Engineering, University of Tehran, Tehran 2Exploration Department, School of Mining Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran |
| Abstract: |
| Stability analysis and studying the geological fractures in mines have been active research topic for many years. Consequently, it is very important being prepared for predicting potential hazards and having the ability to rescue from earth disasters, especially in natural rock slopes and open pit mines. For this purpose, several methods have been used to measure natural fractures of a rock slope. Among these methods are manual techniques, photogrammetric measurements, and laser scanning based techniques. With the proliferation of unmanned aerial vehicles (UAVs), these systems have been widely used in geotechnical projects recently. Especially in the situation that the case study is very hard to be reached. In this paper, a method is developed to detect the possible rock failure. After doing some pre-processing, RANSAC algorithm is used to fit planes to the point cloud. Then, intersections of these planes with the point cloud are computed. After some refinements on these intersections, the possible rock failure are obtained. Point cloud analysis have some advantages over conventional image-based methods; specially in case of potential rock failure which might be hard to detect using the images of rock body. However, analyzing point cloud data, usually is complicated and computationally expensive. |
| Keywords: |
| Disaster Management, Rock Face, UAV Based Processing, Open Pit Mines, Rockfall Hazard, Point Cloud Analysis, Structural Planes |
| Status : Conditional Accept (Poster) |
