Kinematics of Exploration Using Unmanned Aerial Vehicles
(*) Corresponding author
DOI: https://doi.org/10.15866/irease.v15i5.22361
Abstract
UAV technologies are currently used in various fields of science and research. They are often used as a means of exploring a selected area. Technological development in the field of UAVs has been significant in recent years, but this technology also has its limits. The main goal of the research was to create a description of the survey kinematics using unmanned aerial vehicles. When surveying the terrain using unmanned aerial vehicles, it is important to know the effect of individual maneuvers on the overall results of the survey and their effectiveness. A model situation has been created, which is based on simplified conditions and is a good approximation of real research. In research and model situations, it was also assumed that the individual means of research work reliably and always find their goal. The model situation also includes two scenarios, which are listed below in the individual subchapters. The obtained theoretical results are applicable in practice and can streamline the UAV research process.
Copyright © 2022 Praise Worthy Prize - All rights reserved.
Keywords
Full Text:
PDFReferences
Rinaldi, F. et al., Linear Quadratic Control for Quadrotors UAVs Dynamics and Formation Flight, Journal of Intelligent & Robotic Systems, 2013, vol. 70, no. 1, pp. 203-220.
https://doi.org/10.1007/s10846-012-9708-3
Bennet, D. J., et al., Autonomous three-dime nonal formation flight for a swarm of unmanned aerial vehicles, Journal of Guidance Control & Dynamics, 2015, vol. 34, no. 6, pp. 1899-1908.
https://doi.org/10.2514/1.53931
Singh S.N., et al., Nonlinear Adaptive Close Formation Control of Unmanned Aerial Vehicles, Dynamics and Control, 2000, vol. 10, no. 2, pp. 179-194.
https://doi.org/10.1023/A:1008348025564
Jiyang, D., et al., Hierarchical potential field algorithm of path planning for aircraft, Control theory and application, 2015, vol. 11, pp. 1505-1510.
https://doi.org/10.7641/CTA.2015.50428
Rajendran P, et al., Perpetual Solar-Powered Flight across Regions around the World for a Year-Long Opera Perpetual Solar-Powered Flight across Regions around the World for a Year-Long Operation, Aerospace, 2017, vol. 4, i. 2.
https://doi.org/10.3390/aerospace4020020
Barr L. C., et al., Preliminary Risk Assessment for Small Unmanned Aircraft Systems, in 17th AIAA Aviation Technology Integration and Operations Conference ser. AIAA AVIATION Forum., American Institute of Aeronautics and Astronautics, 2017.
https://doi.org/10.2514/6.2017-3272
Dzunda, M., et al., Selected Aspects of Navigation System Synthesis for Increased Flight Safety, Protection of Human Lives, and Health, International Journal of Environmental Research and Public Health, 2020, vol. 17. i. 5, pp. 1-13.
https://doi.org/10.3390/ijerph17051550
Plioutsias, A., et al., Hazard Analysis and Safety Requirements for Small Drone Operations: To What Extent Do Popular Drones Embed Safety?, Risk Analysis, 2017, vol. 38, no. 3, pp. 562-584.
https://doi.org/10.1111/risa.12867
Dzunda, M., et al., The UWB Radar Application in the Aviation Security Systems, Applied Sciences, 2021 vol. 11, i. 10, pp. 1-17.
https://doi.org/10.3390/app11104556
Weinert A., et al., Well-Clear Recommendation for Small Unmanned Aircraft Systems Based on Unmitigated Collision Risk, Journal of Air Transportation, 2018, vol. 26, i. 3, pp. 1-10.
https://doi.org/10.2514/1.D0091
Stöcker, C., et al., Review of the current state of UAV regulations. Remote Sens, 2017 vol .9, i. 5.
https://doi.org/10.3390/rs9050459
Gerke, M., Developments in UAV-Photogrammetry. J. Digit. Landsc. Archit. 2018, vol. 3, pp. 262-272.
https://doi.org/10.14627/537642028
Remondino, F., et al., UAV photogrammetry for mapping and 3D modelling-current status and future perspectives. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2011, vol. 38, pp. 25-31.
https://doi.org/10.5194/isprsarchives-XXXVIII-1-C22-25-2011
Nex, F., Remondino, F. UAV for 3D mapping applications: A review. Appl. Geomat. 2014, vol. 6, pp. 1-15.
https://doi.org/10.1007/s12518-013-0120-x
Dai, F., Feng, Y., Hough, R., Photogrammetric error sources and impacts on modeling and surveying in construction engineering applications, Visualization in Engineering, 2014, vol: 2, pp. 1-14.
https://doi.org/10.1186/2213-7459-2-2
Udin, W.S., Ahmad, A., Assessment of photogrammetric mapping accuracy based on variation flying altitude using unmanned aerial vehicle, IOP Conference Series: Earth and Environmental Science, 2014.
https://doi.org/10.1088/1755-1315/18/1/012027
Westoby, M.J., et al., Structure-from-motion photogrammetry: a low-cost, effective tool for geoscience applications, Geomorphology, 2012, vol. 179, pp.300-314.
https://doi.org/10.1016/j.geomorph.2012.08.021
Zulkipli, M. A., Tahar, K. N., Multirotor UAV-based photogrammetric mapping for road design. International Journal of Optics, 2018, vol. 2018.
https://doi.org/10.1155/2018/1871058
Zhang, H., et al., Evaluating the potential of post-processing kinematic (PPK) georeferencing for UAV-based structure from-motion (SfM) photogrammetry and surface change detection, Earth Surf. Dynam., 2019, vol. 7, pp. 807-827.
https://doi.org/10.5194/esurf-7-807-2019
Soycan, M., Ocalan, T., A regression study on relative GPS accuracy for different variables, Survey Review, 2011, vol. 43(320), pp. 137-149.
https://doi.org/10.1179/003962611X12894696204867
James, M. R., et al., Optimising UAV topographic surveys processed with structure-from-motion: Ground control quality, quantity and bundle adjustment, Geomorphology, 2017, vol. 280, pp 51-66.
https://doi.org/10.1016/j.geomorph.2016.11.021
James, M. R., Robson, S. Straightforward reconstruction of 3D surfaces and topography with a camera: Accuracy and geoscience application, Journal of Geophysical Research: Earth Surface, 2012, vol. 117, i. F3.
https://doi.org/10.1029/2011JF002289
Ekaso, D., et al., Accuracy assessment of real-time kinematics (RTK) measurements on unmanned aerial vehicles (UAV) for direct geo-referencing, Geo-Spatial Information Science, 2020, vol. 23, pp. 165-181.
https://doi.org/10.1080/10095020.2019.1710437
Benassi, F., et al., Testing accuracy and repeatability of UAV blocks oriented with GNSS-supported aerial triangulation. Remote Sensing, 2017, vol. 9(2), 172.
https://doi.org/10.3390/rs9020172
Cledat, E., et al., Mapping quality prediction for RTK/PPK-equipped micro-drones operating in complex natural environment. ISPRS Journal of Photogrammetry and Remote Sensing, 2020, vol. 167, pp. 24-38.
https://doi.org/10.1016/j.isprsjprs.2020.05.015
Jacob, J., et al., Airborne visual detection of small unmanned aircraft systems with and without ADS-B, 2018 IEEE/ION Position Location and Navigation Symposium (PLANS), 2018, pp. 749-756.
https://doi.org/10.1109/PLANS.2018.8373450
Loffi, J. M., et al., Seeing the threat: Pilot visual detection of small unmanned aircraft systems in visual meteorological conditions, International Journal of Aviation Aeronautics and Aerospace, 2016 vol. 3, no. 3, pp. 13.
Abidin, H.Z., et al., On the establishment and implementation of GPS CORS for cadastral surveying and mapping in Indonesia, Survey Review, 2015, vol. 47, pp. 61-70.
https://doi.org/10.1179/1752270614Y.0000000094
Tonkin, T.N., Midgley, N. G., Ground-control networks for image based surface reconstruction: an investigation of optimum survey designs using UAV derived imagery and structure-from-motion photogrammetry, Remote Sens., 2016, vol. 8, p. 786.
https://doi.org/10.3390/rs8090786
Iizuka, K., et al., Improving the 3D model accuracy with a post-processing kinematic (PPK) method for UAS surveys, Geocarto International, 2021, pp. 1-21.
https://doi.org/10.1080/10106049.2021.1882004
Nakata, Y., et al., Accuracy assessment of topographic measurements and monitoring of topographic changes using RTK-UAV in landslide area caused by 2018 Hokkaido Eastern Iburi Earthquake, Landscape Ecology Management., 2020 vol. 25, pp. 43-52.
https://doi.org/10.5738/jale.25.43
Obanawa, H., et al, Evaluating the applicability of RTK-UAV for field management, IGARSS 2019-2019 IEEE Int. Geosci. Remote Sens. Symp., 2019. pp. 9090-9092.
https://doi.org/10.1109/IGARSS.2019.8897895
Dandois, J. P., et al., Optimal altitude, overlap, and weather conditions for computer vision UAV estimates of forest structure, Remote Sens., 2015, vol. 7, pp. 13895-13920.
https://doi.org/10.3390/rs71013895
Reymann, C., et al., Adaptive sampling of cumulus clouds with UAVs. Autonomous Robots, 2018, vol. 42, pp. 491-512.
https://doi.org/10.1007/s10514-017-9625-1
Verdu, T., et al., Flight patterns for clouds exploration with a fleet of uavs, International Conference on Unmanned Aircraft Systems (ICUAS), 2019, pp. 231-237.
https://doi.org/10.1109/ICUAS.2019.8797953
Mayer, S., et al., A "no-flow-sensor" wind estimation algorithm for unmanned aerial systems, International Journal of Micro Air Vehicles, 2012, vol. 4, pp. 15-30.
https://doi.org/10.1260/1756-8293.4.1.15
Cledat, E., et al., Mapping quality prediction for RTK/PPK-equipped micro-drones operating in complex natural environment, ISPRS Journal of Photogrammetry and Remote Sensing, 2020, vol. 167, pp. 24-38.
https://doi.org/10.1016/j.isprsjprs.2020.05.015
Liu, X., et al., Accuracy assessment of a UAV direct georeferencing method and impact of the configuration of ground control points, Drones, 2022, vol. 6, pp. 1-15.
https://doi.org/10.3390/drones6020030
Rossi, G., et al., Multitemporal UAV surveys for landslide mapping and characterization, Landslides, 2018 vol. 15, pp. 1045-1052.
https://doi.org/10.1007/s10346-018-0978-0
Zhang, H., et al., Evaluating the potential of post-processing kinematic (PPK) georeferencing for UAV-based structure from-motion (SfM) photogrammetry and surface change detection, Earth Surface Dynamics, 2019, vol. 7, pp. 807-827.
https://doi.org/10.5194/esurf-7-807-2019
Refbacks
- There are currently no refbacks.
Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize