Abstract

Abstract. Photogrammetry is becoming a widely used technique for slope monitoring and rock fall data collection. Its scalability, simplicity of components and low costs for hardware and operations makes its use constantly increasing for both civil and mining applications. Recent on site permanent installation of cameras resulted particularly viable for the monitoring of extended surfaces at very reasonable costs. The current work investigates the performances of a customised Raspberry Pi camera module V2 system and three additional low-cost camera systems including an ELP-USB8MP02G camera module, a compact digital camera (Nikon S3100) and a DSLR (Nikon D3). All system, except the Nikon D3, are available at comparable price. The comparison was conducted by collecting images of rock surfaces, one located in Australia and three located in Italy, from distances between 55 and 110 m. Results are presented in terms of image quality and three dimensional reconstruction error. Thereby, the multi-view reconstructions are compared to a reference model acquired with a terrestrial laser scanner.

Highlights

  • Over the last decade, the use of photogrammetry for repeated 3D mapping and monitoring has received an increased attention by specialists, researchers and practitioners

  • The comparisons with the terrestrial laser scanner (TLS) point cloud showed that the Digital Surface Models (DSM) generated from the images of the Raspberry Pi camera module V2 (RPi) are generally complete but noisy

  • This work investigated the performances of four different lowcost camera sensors for the monitoring of sub-vertical rock faces from distances of 50 to 100 m

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Summary

Introduction

The use of photogrammetry for repeated 3D mapping and monitoring has received an increased attention by specialists, researchers and practitioners. The current work further extends this work to assess quality of acquisition and resolution of different low-cost camera solutions for the monitoring of large vertical rock faces located at significant distance (between 80 and 110 m) from the camera system. Such requirement is an important feature in mining applications where a “no go zone” of several meters from the object (rock wall) is generally imposed by safety regulations, and the potential installation of a fixed photogrammetric system needs to account for machineries and mining activities in continuous evolution. The overall aim was to assess the performance of different camera systems compared to their costs

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