UAV Technology-Based 3D Reconstruction for Mine Dump Slope Assessment
- DOI
- 10.2991/978-94-6463-252-1_128How to use a DOI?
- Keywords
- Unmanned aerial vehicle (UAV); Ground control points (GCPs); Dump slope
- Abstract
In the current scenario, the aim of mining operations is to obtain as much usable ore as possible while maintaining a safe and profitable working environment. In open-pit mining and quarrying operations, the stability of slopes is of the utmost importance from both an economic and a safety standpoint. This is due to the fact that unstable slopes can lead to the loss of human life as well as damage to properties. Unmanned aerial vehicle (UAV) is an emerging technology in the field of geotechnical engineering, and its one-time procurement is sufficient for monitoring and management of large surface mines area. This paper discusses the challenges in implementing UAV technology for mine dump slopes, such as image acquisition, overlapping images, flying pattern, flying altitude, and ground control points (GCPs) acquisition, as well as the major problems involved in 3D dump slope reconstruction. The results show that UAV technology has the capability to deal with such a large structure as well as the importance of GCPs in improving the accuracy of the 3D model.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Amit Kumar Mankar AU - Radhakanta Koner PY - 2023 DA - 2023/11/09 TI - UAV Technology-Based 3D Reconstruction for Mine Dump Slope Assessment BT - Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023) PB - Atlantis Press SP - 1277 EP - 1283 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-252-1_128 DO - 10.2991/978-94-6463-252-1_128 ID - Mankar2023 ER -