A Practical Methodology for Generating High-Resolution 3D Models of Open-Pit Slopes Using UAVs: Flight Path Planning and Optimization
Open Access
- 15 July 2020
- journal article
- research article
- Published by MDPI AG in Remote Sensing
- Vol. 12 (14), 2283
- https://doi.org/10.3390/rs12142283
Abstract
High-resolution terrain models of open-pit mine highwalls and benches are essential in developing new automated slope monitoring systems for operational optimization. This paper presents several contributions to the field of remote sensing in surface mines providing a practical framework for generating high-resolution images using low-trim Unmanned Aerial Vehicles (UAVs). First, a novel mobile application was developed for autonomous drone flights to follow mine terrain and capture high-resolution images of the mine surface. In this article, case study is presented showcasing the ability of developed software to import area terrain, plan the flight accordingly, and finally execute the area mapping mission autonomously. Next, to model the drone’s battery performance, empirical studies were conducted considering various flight scenarios. A multivariate linear regression model for drone power consumption was derived from experimental data. The model has also been validated using data from a test flight. Finally, a genetic algorithm for solving the problem of flight planning and optimization has been employed. The developed power consumption model was used as the fitness function in the genetic algorithm. The designed algorithm was then validated using simulation studies. It is shown that the offered path optimization can reduce the time and energy of high-resolution imagery missions by over 50%. The current work provides a practical framework for stability monitoring of open-pit highwalls while achieving required energy optimization and imagery performance.Funding Information
- National Institute for Occupational Safety and Health (200-2017-95360)
This publication has 23 references indexed in Scilit:
- Topographically Guided UAV for Identifying Tension Cracks Using Image-Based Analytics in Open-Pit MinesIEEE Transactions on Industrial Electronics, 2020
- Above-ground biomass estimation and yield prediction in potato by using UAV-based RGB and hyperspectral imagingISPRS Journal of Photogrammetry and Remote Sensing, 2020
- Improving the estimation of fractional vegetation cover from UAV RGB imagery by colour unmixingISPRS Journal of Photogrammetry and Remote Sensing, 2019
- Genetic Algorithm for Traveling Salesman Problem with Modified Cycle Crossover OperatorComputational Intelligence and Neuroscience, 2017
- Coverage path planning with unmanned aerial vehicles for 3D terrain reconstructionExpert Systems with Applications, 2016
- Coverage Path Planning for UAVs Photogrammetry with Energy and Resolution ConstraintsJournal of Intelligent & Robotic Systems, 2016
- Unmanned Aerial Vehicles for Photogrammetry: Analysis of Orthophoto Images over the Territory of LithuaniaInternational Journal of Aerospace Engineering, 2016
- Soil moisture retrieval from airborne L-band passive microwave using high resolution multispectral dataISPRS Journal of Photogrammetry and Remote Sensing, 2014
- Small-Format Aerial PhotographyPublished by Elsevier BV ,2010
- A geometric stochastic approach based on marked point processes for road mark detection from high resolution aerial imagesISPRS Journal of Photogrammetry and Remote Sensing, 2009