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Journal articles on the topic 'UAV Models'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 September 2023

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1

Szabolcsi, Róbert. "Mathematical Models of the UAV Operators." International conference KNOWLEDGE-BASED ORGANIZATION 29, no. 3 (2023): 91–98. http://dx.doi.org/10.2478/kbo-2023-0081.

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Abstract The operators maintaining different kinds of activities might have different mathematical models regarding their physical and mental status, their skills and experiences, their level of training they own. Recent days more and more attention is paid to wide spread of different UAVs applied both in military and in non-military governmental applications. The UAV production industry is able to manufacture UAVs for different and diverging purposes. However, the effective maintenance of these UAVs requires highly trained and qualified operators. When massive UAV applications support combati

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Yu, Ge Fei, Zhen Hua Wang, Ling Li, Cong Yang, Da Wei Liu, and Yin Ting Wang. "Study on Wireless Channel Models of UAV Data Link." Applied Mechanics and Materials 543-547 (March 2014): 2605–8. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.2605.

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the performance of UAV (Unmanned Aircraft Vehicle) data link is restrained by wireless channel, in this paper, we analyzed theoretically the characteristics of wireless channels of UAV data link, studied the simulation channel models of flat fading and selective fading which are suitable for low-speed command and remote measuring information and high-speed sensor information respectively, which will be used for designing the system of UAV data link and enhance the performance of UAV data link system.

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Kim, H. G., W. Yoon, S. Rhee, and T. Kim. "AUTOMATIC METHOD FOR GENERATING 3D BUILDING MODELS WITH TEXTURE FROM UAV IMAGES." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B1-2022 (May 30, 2022): 375–82. http://dx.doi.org/10.5194/isprs-archives-xliii-b1-2022-375-2022.

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Abstract. In this paper, we propose a method for automatically generating 3D building models from UAV image based point cloud data and for mapping building texture from UAV images. The proposed method generates dense point clouds from UAV images and isolates points from building areas through a statistical analysis. It then generates solid models as 3D building models by point cloud analysis per building area. Texture for 3D building solid models are created by mapping model face to UAV images. In order to verify the proposed method, various UAV image sets and point clouds were tested. As resu

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Tournadre, V., M. Pierrot-Deseilligny, and P. H. Faure. "UAV LINEAR PHOTOGRAMMETRY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3/W3 (August 19, 2015): 327–33. http://dx.doi.org/10.5194/isprsarchives-xl-3-w3-327-2015.

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The photogrammetric treatment of images acquired on a linear axis is a problematic case. Such tricky configurations often leads to bended 3D models, described as a bowl effect, which requires ground measurements to be fixed. This article presents different solutions to overcome that problem. All solutions have been implemented into the free open-source photogrammetric suite MicMac. The article presents the lasts evolutions of MicMac's bundle adjustment core, as well as some extended calibration models and how they fit for the camera evaluated. The acquisition process is optimized by presenting

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Chiabrando, F., V. Di Pietra, A. Lingua, et al. "TLS MODELS GENERATION ASSISTED BY UAV SURVEY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5 (June 15, 2016): 413–20. http://dx.doi.org/10.5194/isprs-archives-xli-b5-413-2016.

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(TLS, Terrestrial Laser Scanning), and large scale mapping derived by UAV (Unmanned Aerial Vehicle) survey. This paper refers an example of 3D survey and reality based modelling applied on landscape and architectural assets. The choice of methods for documentation, in terms of survey techniques, depends primarily on issues and features of the area. <br><br> The achieved experience, allow to consider that the easy handling of TLS has enabled the use in limited spaces among buildings and collapsed roofs, but the topographic measure of GCPs (Ground Control Points), neither by total st

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Mulsow, C., R. Kenner, Y. Bühler, A. Stoffel, and H. G. Maas. "SUBAQUATIC DIGITAL ELEVATION MODELS FROM UAV-IMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2 (May 30, 2018): 739–44. http://dx.doi.org/10.5194/isprs-archives-xlii-2-739-2018.

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The paper presents an approach for the generation of digital elevation models (DEMs) of underwater areas from aerial images. Standard software-products do not provide the possibility to measure correctly through refractive interfaces, such as water. Existing solutions for that problem are based on oriented images and known water levels with the DEM points determined by forward intersection based on reconstructed image ray paths (ray tracing). In this article we present an integrated procedure for image orientation as well as DEM mass point determination from aerial imagery containing both land

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Chiabrando, F., V. Di Pietra, A. Lingua, et al. "TLS MODELS GENERATION ASSISTED BY UAV SURVEY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5 (June 15, 2016): 413–20. http://dx.doi.org/10.5194/isprsarchives-xli-b5-413-2016.

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(TLS, Terrestrial Laser Scanning), and large scale mapping derived by UAV (Unmanned Aerial Vehicle) survey. This paper refers an example of 3D survey and reality based modelling applied on landscape and architectural assets. The choice of methods for documentation, in terms of survey techniques, depends primarily on issues and features of the area. &lt;br&gt;&lt;br&gt; The achieved experience, allow to consider that the easy handling of TLS has enabled the use in limited spaces among buildings and collapsed roofs, but the topographic measure of GCPs (Ground Control Points), nei

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Li, Le, Wenbin Xiao, Wei Qiu, Pengzheng Lei, and Kefeng Deng. "New Flocking Models Apply for UAV Formation." Journal of Physics: Conference Series 1169 (February 2019): 012025. http://dx.doi.org/10.1088/1742-6596/1169/1/012025.

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Li, Minglei, Liangliang Nan, Neil Smith, and Peter Wonka. "Reconstructing building mass models from UAV images." Computers & Graphics 54 (February 2016): 84–93. http://dx.doi.org/10.1016/j.cag.2015.07.004.

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Cryderman, Chris, S. Bill Mah, and Aaron Shufletoski. "Evaluation of UAV Photogrammetric Accuracy for Mapping and Earthworks Computations." GEOMATICA 68, no. 4 (2014): 309–17. http://dx.doi.org/10.5623/cig2014-405.

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This study quantifies the accuracies achieved and tests the validity of an in-house developed Unmanned Aerial Vehicle (UAV) system employed in a stockpile volumetric survey. UAV photogrammetric results are compared with conventional GNSS survey results. To test the repeatability of the UAV system, multiple flights were flown over the same stockpile using different GNSS ground control, at different times and weather conditions. Positional accuracies of UAV photogrammetric results were found to be very similar to those from GNSS RTK survey, at the scale of photography flown. UAV stockpile volume

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Szabolcsi, Róbert. "Modelling UAV Operators in Closed Loop Flight Control Systems." International conference KNOWLEDGE-BASED ORGANIZATION 29, no. 3 (2023): 99–106. http://dx.doi.org/10.2478/kbo-2023-0082.

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Abstract The semi-automated control systems include human operators accomplishing different tasks. The UAVs’ semi-automated control means a special ‘man-machine’ system. The UAV operators gaining real time information and leaning on experiences gained in the past will control the UAV. His knowledge and high level skills are required to conduct successfully any flight mission he was tasked for. Hence, to accomplish any regulation or tracking control problem, the UAV operator shall rely on his theoretical and practical skills to achieve goals of the UAV flights. Additionally, the UAV closed loop

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Lowe, Meagan K., Farrah Anis Fazliatul Adnan, Sarah M. Hamylton, Rafael C. Carvalho, and Colin D. Woodroffe. "Assessing Reef-Island Shoreline Change Using UAV-Derived Orthomosaics and Digital Surface Models." Drones 3, no. 2 (2019): 44. http://dx.doi.org/10.3390/drones3020044.

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This study presents an analysis of shoreline change on reef islands using unmanned aerial vehicle (UAV)-derived orthomosaics and digital surface models (DSMs) collected on Sipadan Island, Sabah, Malaysia, and Sasahura Ite Island, Isabel Province, Solomon Islands. The high resolution of UAV-derived orthomosaics enabled changes in the position of the base of beach to be detected with confidence. The accuracy of the UAV-derived DSMs was assessed against equivalent topographic profiles via root-mean-square error, and found to be <0.21 m in all but one case; this demonstrates the potential for u

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Jiménez-Jiménez, Sergio Iván, Waldo Ojeda-Bustamante, Mariana Marcial-Pablo, and Juan Enciso. "Digital Terrain Models Generated with Low-Cost UAV Photogrammetry: Methodology and Accuracy." ISPRS International Journal of Geo-Information 10, no. 5 (2021): 285. http://dx.doi.org/10.3390/ijgi10050285.

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Digital terrain model (DTM) generation is essential to recreating terrain morphology once the external elements are removed. Traditional survey methods are still used to collect accurate geographic data on the land surface. Given the emergence of unmanned aerial vehicles (UAVs) equipped with low-cost digital cameras and better photogrammetric methods for digital mapping, efficient approaches are necessary to allow rapid land surveys with high accuracy. This paper provides a review, complemented with the authors’ experience, regarding the UAV photogrammetric process and field survey parameters

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Utebayeva, Dana, Lyazzat Ilipbayeva, and Eric T. Matson. "Practical Study of Recurrent Neural Networks for Efficient Real-Time Drone Sound Detection: A Review." Drones 7, no. 1 (2022): 26. http://dx.doi.org/10.3390/drones7010026.

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The detection and classification of engine-based moving objects in restricted scenes from acoustic signals allow better Unmanned Aerial System (UAS)-specific intelligent systems and audio-based surveillance systems. Recurrent Neural Networks (RNNs) provide wide coverage in the field of acoustic analysis due to their effectiveness in widespread practical applications. In this work, we propose to study SimpleRNN, LSTM, BiLSTM, and GRU recurrent network models for real-time UAV sound recognition systems based on Mel-spectrogram using Kapre layers. The main goal of the work is to study the types o

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Tan, Qichen, Haoyu Bian, Siyang Zhong, and Xin Zhang. "Simulation of multi-rotor powered urban aerial mobility noise for environmental assessment." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 3 (2021): 3854–60. http://dx.doi.org/10.3397/in-2021-2541.

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The operation of the rapidly growing unmanned aerial vehicles (UAV) and the promising urban aerial mobility (UAM) could have a significant noise impact on the environment. In this work, we developed a cloud-based noise simulator to efficiently assess the environmental impact of UAM and UAV. The noise sources and long-distance propagation are computed by the propeller noise prediction models and an advanced Gaussian beam tracing method, respectively, in local high-performance computers. Users can define the working conditions and vehicle layer through a platform with a user-friendly graphical i

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Eskandari, Roghieh, Masoud Mahdianpari, Fariba Mohammadimanesh, Bahram Salehi, Brian Brisco, and Saeid Homayouni. "Meta-analysis of Unmanned Aerial Vehicle (UAV) Imagery for Agro-environmental Monitoring Using Machine Learning and Statistical Models." Remote Sensing 12, no. 21 (2020): 3511. http://dx.doi.org/10.3390/rs12213511.

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Unmanned Aerial Vehicle (UAV) imaging systems have recently gained significant attention from researchers and practitioners as a cost-effective means for agro-environmental applications. In particular, machine learning algorithms have been applied to UAV-based remote sensing data for enhancing the UAV capabilities of various applications. This systematic review was performed on studies through a statistical meta-analysis of UAV applications along with machine learning algorithms in agro-environmental monitoring. For this purpose, a total number of 163 peer-reviewed articles published in 13 hig

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Jarzabek-Rychard, M., and M. Karpina. "QUALITY ANALYSIS ON 3D BUIDLING MODELS RECONSTRUCTED FROM UAV IMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 6, 2016): 1121–26. http://dx.doi.org/10.5194/isprsarchives-xli-b1-1121-2016.

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Recent developments in UAV technology and structure from motion techniques have effected that UAVs are becoming standard platforms for 3D data collection. Because of their flexibility and ability to reach inaccessible urban parts, drones appear as optimal solution for urban applications. Building reconstruction from the data collected with UAV has the important potential to reduce labour cost for fast update of already reconstructed 3D cities. However, especially for updating of existing scenes derived from different sensors (e.g. airborne laser scanning), a proper quality assessment is necess

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Jarzabek-Rychard, M., and M. Karpina. "QUALITY ANALYSIS ON 3D BUIDLING MODELS RECONSTRUCTED FROM UAV IMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 6, 2016): 1121–26. http://dx.doi.org/10.5194/isprs-archives-xli-b1-1121-2016.

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Recent developments in UAV technology and structure from motion techniques have effected that UAVs are becoming standard platforms for 3D data collection. Because of their flexibility and ability to reach inaccessible urban parts, drones appear as optimal solution for urban applications. Building reconstruction from the data collected with UAV has the important potential to reduce labour cost for fast update of already reconstructed 3D cities. However, especially for updating of existing scenes derived from different sensors (e.g. airborne laser scanning), a proper quality assessment is necess

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Wang, Chuanyun, Yang Su, Jingjing Wang, Tian Wang, and Qian Gao. "UAVSwarm Dataset: An Unmanned Aerial Vehicle Swarm Dataset for Multiple Object Tracking." Remote Sensing 14, no. 11 (2022): 2601. http://dx.doi.org/10.3390/rs14112601.

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In recent years, with the rapid development of unmanned aerial vehicles (UAV) technology and swarm intelligence technology, hundreds of small-scale and low-cost UAV constitute swarms carry out complex combat tasks in the form of ad hoc networks, which brings great threats and challenges to low-altitude airspace defense. Security requirements for low-altitude airspace defense, using visual detection technology to detect and track incoming UAV swarms, is the premise of anti-UAV strategy. Therefore, this study first collected many UAV swarm videos and manually annotated a dataset named UAVSwarm d

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Prathyusha, K., and A. S. C. S. Sastry. "Secured dynamic path planning and multi-obstacle avoidance model for UAV networks." International Journal of Engineering & Technology 7, no. 1.1 (2017): 371. http://dx.doi.org/10.14419/ijet.v7i1.1.9855.

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As the number of the obstacles are increasing along with the navigation paths, the security of the communication data also increasing exponentially in the dynamic UAV networks. A large number of path planning and obstacle avoidance models have been proposed on the static and dynamic UAV networks for data communication. Most of the traditional obstacle avoidance models are independent of security for communication data or path planning procedures. Since the UAV sensitive data are stored in each sensor along with the path planning information; there exists an unauthorized access or malicious acc

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Zheng, Xing, Gu Chang Wang, He Yang, and Hong Xiang Liu. "Design and Implementation of UAV 3D Visual Simulation Training System." Applied Mechanics and Materials 336-338 (July 2013): 1361–65. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.1361.

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UAV visual simulation training system is a vital part of the UAV simulation training system. It is made up of simulation models for UAV and airborne platform mathematical, UAV visual and ground-station control system. It prevents a realistic virtual environment for UAV operator by simulating UAV flight control law and the actual flight environments. In order to train operational level, test weapons and validate tactical thinking economically and efficiently. This paper prevented the function, architecture, hardware deployment, running conditions and realization of real simulation module.

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Wiseman, Dion J., and Jurjen van der Sluijs. "Alternative Methods for Developing and Assessing the Accuracy of UAV-Derived DEMs." International Journal of Applied Geospatial Research 6, no. 3 (2015): 58–77. http://dx.doi.org/10.4018/ijagr.2015070104.

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Digital terrain models are invaluable datasets that are frequently used for visualizing, modeling, and analyzing Earth surface processes. Accurate models covering local scale landscape features are often very expensive and have poor temporal resolution. This research investigates the utility of UAV acquired imagery for generating high resolution terrain models and provides a detailed accuracy assessment according to recommended protocols. High resolution UAV imagery was acquired over a localized dune complex in southwestern Manitoba, Canada and two alternative workflows were evaluated for extr

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Gumenyuk, Igor, Vladimir Vorotnikov, and Pavel Pozdniakov. "Models of Conflicts in Motion Control Small UAV." Advanced Science Journal 2016, no. 3 (2016): 63–72. http://dx.doi.org/10.15550/asj.2016.03.063.

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Noh, Sichan, Taehun Jung, Kwang Soon Kim, Chan-Byoung Chae, Soo Bin Um, and Jeung Won Choi. "UAV Channel Models: A Survey and Performance Evaluation." Journal of Korean Institute of Communications and Information Sciences 43, no. 2 (2018): 352–62. http://dx.doi.org/10.7840/kics.2018.43.2.352.

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DOWAJY, Mohammad, Daniel BARANYAI, Arpad SOMOGYI, Robert VRBOVSZKI, and Tamas LOVAS. "Comparative analysis of Road Scanning Techniques." Nova Geodesia 3, no. 1 (2023): 111. http://dx.doi.org/10.55779/ng31111.

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A three-dimensional road point cloud is not only useful for civil engineers (road rehabilitation, road condition assessment) but can also be useful for vehicle engineers (autonomous vehicle driving scenario, vehicle dynamics simulation). Currently, there are several scanning techniques can be used to obtain these point clouds, such as terrestrial laser scanning (TLS), mobile laser scanning (MLS), airborne laser scanning (ALS), unmanned aerial vehicle (UAV) photogrammetry or UAV laser scanning. This paper discusses the investigation of four road surface scanning techniques by comparing their po

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Alqurashi, M., and J. Wang. "Impacts of stochastic models on real-time 3D UAV mapping." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1 (November 7, 2014): 35–44. http://dx.doi.org/10.5194/isprsarchives-xl-1-35-2014.

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In UAV mapping using direct geo-referencing, the formation of stochastic model generally takes into the account the different types of measurements required to estimate the 3D coordinates of the feature points. Such measurements include image tie point coordinate measurements, camera position measurements and camera orientation measurements. In the commonly used stochastic model, it is commonly assumed that all tie point measurements have the same variance. In fact, these assumptions are not always realistic and thus, can lead to biased 3D feature coordinates. Tie point measurements for differ

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Boesch, R., Y. Bühler, M. Marty, and C. Ginzler. "COMPARISON OF DIGITAL SURFACE MODELS FOR SNOW DEPTH MAPPING WITH UAV AND AERIAL CAMERAS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 453–58. http://dx.doi.org/10.5194/isprs-archives-xli-b8-453-2016.

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Photogrammetric workflows for aerial images have improved over the last years in a typically black-box fashion. Most parameters for building dense point cloud are either excessive or not explained and often the progress between software releases is poorly documented. On the other hand, development of better camera sensors and positional accuracy of image acquisition is significant by comparing product specifications. This study shows, that hardware evolutions over the last years have a much stronger impact on height measurements than photogrammetric software releases. <br><br> Snow

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Boesch, R., Y. Bühler, M. Marty, and C. Ginzler. "COMPARISON OF DIGITAL SURFACE MODELS FOR SNOW DEPTH MAPPING WITH UAV AND AERIAL CAMERAS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 453–58. http://dx.doi.org/10.5194/isprsarchives-xli-b8-453-2016.

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Photogrammetric workflows for aerial images have improved over the last years in a typically black-box fashion. Most parameters for building dense point cloud are either excessive or not explained and often the progress between software releases is poorly documented. On the other hand, development of better camera sensors and positional accuracy of image acquisition is significant by comparing product specifications. This study shows, that hardware evolutions over the last years have a much stronger impact on height measurements than photogrammetric software releases. &lt;br&gt;&lt

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Hoffmann, H., H. Nieto, R. Jensen, R. Guzinski, P. J. Zarco-Tejada, and T. Friborg. "Estimating evapotranspiration with thermal UAV data and two source energy balance models." Hydrology and Earth System Sciences Discussions 12, no. 8 (2015): 7469–502. http://dx.doi.org/10.5194/hessd-12-7469-2015.

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Abstract. Estimating evapotranspiration is important when managing water resources and cultivating crops. Evapotranspiration can be estimated using land surface heat flux models and remotely sensed land surface temperatures (LST) which recently have become obtainable in very high resolution using Unmanned Aerial Vehicles (UAVs). Very high resolution LST can give insight into e.g. distributed crop conditions within cultivated fields. In this study evapotranspiration is estimated using LST retrieved with a UAV and the physically-based, two source energy balance models: the Priestley–Taylor TSEB

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Hugenholtz, Chris, Owen Brown, Jordan Walker, et al. "Spatial Accuracy of UAV-Derived Orthoimagery and Topography: Comparing Photogrammetric Models Processed with Direct Geo-Referencing and Ground Control Points." GEOMATICA 70, no. 1 (2016): 21–30. http://dx.doi.org/10.5623/cig2016-102.

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Mapping with unmanned aerial vehicles (UAVs) typically involves the deployment of ground control points (GCPs) to georeference the images and topographic model. An alternative approach is direct geo ref er encing, whereby the onboard Global Navigation Satellite System (GNSS) and inertial measurement unit are used without GCPs to locate and orient the data. This study compares the spatial accuracy of these approaches using two nearly identical UAVs. The onboard GNSS is the one difference between them, as one vehicle uses a survey-grade GNSS/RTK receiver (RTK UAV), while the other uses a lower-g

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Zhdanov, Sergii, Natalia Kadet, Valerii Silkov, Mariia Zirka, Olexander Rasstrygin, and Andrii Zirka. "The Mathematical Model for Research of the UAV Longitudinal Moving." International Journal of Computer Network and Information Security 13, no. 5 (2021): 29–39. http://dx.doi.org/10.5815/ijcnis.2021.05.03.

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The paper presents one of the perspective directions of the development to modern aviation, which is connected with designing and producing unmanned aerial vehicles (UAV) of various functionalities for applying in both military and civilian spheres. The syntheses of UAV control systems, regardless of their type and purpose presumes creation of adequate mathematical models, first of all adequate aerodynamic mathematical models. In the paper results that forms and justify the aerodynamic mathematical model and as well as the results of building a general mathematical model of the longitudinal mo

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Aliyari, Mostafa, Enrique Lopez Droguett, and Yonas Zewdu Ayele. "UAV-Based Bridge Inspection via Transfer Learning." Sustainability 13, no. 20 (2021): 11359. http://dx.doi.org/10.3390/su132011359.

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As bridge inspection becomes more advanced and more ubiquitous, artificial intelligence (AI) techniques, such as machine and deep learning, could offer suitable solutions to the nation’s problems of overdue bridge inspections. AI coupling with various data that can be captured by unmanned aerial vehicles (UAVs) enables fully automated bridge inspections. The key to the success of automated bridge inspection is a model capable of detecting failures from UAV data like images and films. In this context, this paper investigates the performances of state-of-the-art convolutional neural networks (CN

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Hasan, Umut, Mamat Sawut, and Shuisen Chen. "Estimating the Leaf Area Index of Winter Wheat Based on Unmanned Aerial Vehicle RGB-Image Parameters." Sustainability 11, no. 23 (2019): 6829. http://dx.doi.org/10.3390/su11236829.

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The leaf area index (LAI) is not only an important parameter for monitoring crop growth, but also an important input parameter for crop yield prediction models and hydrological and climatic models. Several studies have recently been conducted to estimate crop LAI using unmanned aerial vehicle (UAV) multispectral and hyperspectral data. However, there are few studies on estimating the LAI of winter wheat using unmanned aerial vehicle (UAV) RGB images. In this study, we estimated the LAI of winter wheat at the jointing stage on simple farmland in Xinjiang, China, using parameters derived from UA

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Xu, Yaping, Vivek Shrestha, Cristiano Piasecki, et al. "Sustainability Trait Modeling of Field-Grown Switchgrass (Panicum virgatum) Using UAV-Based Imagery." Plants 10, no. 12 (2021): 2726. http://dx.doi.org/10.3390/plants10122726.

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Unmanned aerial vehicles (UAVs) provide an intermediate scale of spatial and spectral data collection that yields increased accuracy and consistency in data collection for morphological and physiological traits than satellites and expanded flexibility and high-throughput compared to ground-based data collection. In this study, we used UAV-based remote sensing for automated phenotyping of field-grown switchgrass (Panicum virgatum), a leading bioenergy feedstock. Using vegetation indices calculated from a UAV-based multispectral camera, statistical models were developed for rust disease caused b

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Korolyov, Vyacheslav, Maksim Ogurtsov, and Alexander Khodzinsky. "Statement of the Problem of Complete Set of UAV Group on the Basis of Models of Granular Calculations and Fuzzy Logic." Cybernetics and Computer Technologies, no. 2 (June 30, 2021): 25–38. http://dx.doi.org/10.34229/2707-451x.21.2.3.

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Introduction. The increase in the number of heterogeneous groups of UAVs that jointly perform aerial photography missions generates a large amount of poorly structured information: videos, photos, telemetry records, navigation data. To build intelligent databases from unstructured information sources from UAV groups, granular computational approaches are proposed. These approaches are the basis for the application of Big Data technologies and artificial intelligence to increase situational awareness or commercial value of knowledge gained from the data flow from UAV groups. The purpose of the

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Richardson, Galen, Sylvain G. Leblanc, Julie Lovitt, Krishan Rajaratnam, and Wenjun Chen. "Leveraging AI to Estimate Caribou Lichen in UAV Orthomosaics from Ground Photo Datasets." Drones 5, no. 3 (2021): 99. http://dx.doi.org/10.3390/drones5030099.

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Relating ground photographs to UAV orthomosaics is a key linkage required for accurate multi-scaled lichen mapping. Conventional methods of multi-scaled lichen mapping, such as random forest models and convolutional neural networks, heavily rely on pixel DN values for classification. However, the limited spectral range of ground photos requires additional characteristics to differentiate lichen from spectrally similar objects, such as bright logs. By applying a neural network to tiles of a UAV orthomosaics, additional characteristics, such as surface texture and spatial patterns, can be used f

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Hoffmann, H., H. Nieto, R. Jensen, R. Guzinski, P. Zarco-Tejada, and T. Friborg. "Estimating evaporation with thermal UAV data and two-source energy balance models." Hydrology and Earth System Sciences 20, no. 2 (2016): 697–713. http://dx.doi.org/10.5194/hess-20-697-2016.

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Abstract. Estimating evaporation is important when managing water resources and cultivating crops. Evaporation can be estimated using land surface heat flux models and remotely sensed land surface temperatures (LST), which have recently become obtainable in very high resolution using lightweight thermal cameras and Unmanned Aerial Vehicles (UAVs). In this study a thermal camera was mounted on a UAV and applied into the field of heat fluxes and hydrology by concatenating thermal images into mosaics of LST and using these as input for the two-source energy balance (TSEB) modelling scheme. Therma

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Kochuk, Serhii, Dinh Dong Nguyen, Artem Nikitin, and Rafael Trujillo Torres. "Identification of UAV model parameters from flight and computer experiment data." Aerospace technic and technology, no. 6 (November 29, 2021): 12–22. http://dx.doi.org/10.32620/aktt.2021.6.02.

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The object of research in the article is various well-known approaches and methods of structural and parametric identification of dynamic controlled objects - unmanned aerial vehicles (UAVs). The subject of the research is the parameters of linear and nonlinear mathematical models of spatial and isolated movements, describing the dynamics and aerodynamic properties of the UAV and obtained both from the results of flight experiments and using computer object-oriented programs for 3-D UAV models. The goal is to obtain mathematical models of UAV flight dynamics in the form of differential equatio

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Sudra, Paweł, Luca Demarchi, Grzegorz Wierzbicki, and Jarosław Chormański. "A Comparative Assessment of Multi-Source Generation of Digital Elevation Models for Fluvial Landscapes Characterization and Monitoring." Remote Sensing 15, no. 7 (2023): 1949. http://dx.doi.org/10.3390/rs15071949.

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Imaging and measuring the Earth’s relief with sensors mounted upon unmanned aerial vehicles is an increasingly frequently used and promising method of remote sensing. In the context of fluvial geomorphology and its applications, e.g., landform mapping or flood modelling, the reliable representation of the land surface on digital elevation models is crucial. The main objective of the study was to assess and compare the accuracy of state-of-the-art remote sensing technologies in generating DEMs for riverscape characterization and fluvial monitoring applications. In particular, we were interested

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Szabolcsi, Róbert. "Numerical Analyis of the Low-Altitude Air Turbulence Mathematical Models Used in Modelling of the Spatial Motion of the Small Unmanned Aerial Vehicles." International conference KNOWLEDGE-BASED ORGANIZATION 23, no. 3 (2017): 120–30. http://dx.doi.org/10.1515/kbo-2017-0165.

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Abstract Unmanned Aerial Vehicles designed and manufactured often with unknown origin but available in sale of the model aircraft market rarely deals with weather circumstances and conditions defining clearances for safe air operations of the UAV. UAVs used in low-altitude flight missions are often threatened by atmospheric turbulences leading either to high angle-of-attack (AoA) or leading to the stall of the UAV. There are many mathematical models well-known and widely applied in piloted aircraft aviation when to simulate atmospheric turbulences affecting spatial motion of the aircraft. This

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Aris Marfai, Muh, Hendy Fatchurohman, and Ahmad Cahyadi. "An Evaluation of Tsunami Hazard Modeling in Gunungkidul Coastal Area using UAV Photogrammetry and GIS. Case Study: Drini Coastal Area." E3S Web of Conferences 125 (2019): 09005. http://dx.doi.org/10.1051/e3sconf/201912509005.

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In recent years, Tourism activities in Gunungkidul Coastal Area rapidly increased. A large number of tourists visiting the coast considered as elements at risk that are exposed to tsunami hazards. Disaster infrastructures provided by the government e.g. hazard maps, evacuation routes, and locations for assembly points are inadequate. The tsunami inundation models provided by the government are based on national topographic maps (RBI), resulting in inaccurate models. DEM generation using UAV Photogrammetry produces high spatial resolution data that results in more accurate tsunami inundation mo

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Roblero-Hidalgo, Rodrigo, Jorge Flores-Velázquez, Jesús Chávez-Morales, and Aurelio Reyes-Ramírez. "Reliability assessment of three topographic methods for generating digital elevation models (DEMs)." Ingeniería Agrícola y Biosistemas 12, no. 2 (2020): 159–71. http://dx.doi.org/10.5154/r.inagbi.2020.01.005.

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Introduction: A digital elevation model (DEM) allows for the analysis of specific features on the earth’s surface in three dimensions. The engineering DEM is useful to evaluate resources and design management strategies. Objective: To evaluate the technical-operational feasibility of generating DEMs from total station (TS) topographic surveys, GPS RTK and aerial photogrammetry using an unmanned aerial vehicle (UAV). Methodology: A 20x20 m grid was traced in a plot without vegetation (1.4 ha) located in Montecillo, Estado de México, and topographic surveys were carried out with three methods, f

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Erkec, Tuncay Yunus, and Chingiz Hajiyev. "Relative Navigation in UAV Applications." International Journal of Aviation Science and Technology vm01, is02 (2020): 52–65. http://dx.doi.org/10.23890/ijast.vm01is02.0202.

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This paper is committed to the relative navigation of Unmanned Aerial Vehicles (UAVs) flying in formation flight. The concept and methods of swarm UAVs technology and architecture have been explained. The relative state estimation models of unmanned aerial vehicles which are based on separate systems as Inertial Navigation Systems (INS)&Global Navigation Satellite System (GNSS), Laser&INS and Vision based techniques have been compared via various approaches. The sensors are used individually or integrated each other via sensor integration for solving relative navigation problems. The U

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Фесенко, Герман Вікторович, та Вячеслав Сергійович Харченко. "ВИЗНАЧЕННЯ ОПТИМАЛЬНОГО МАРШРУТУ ОБЛЬОТУ ЗАДАНИХ ТОЧОК ТЕРИТОРІЇ ПОТЕНЦІЙНО НЕБЕЗПЕЧНОГО ОБ’ЄКТУ ФЛОТОМ БПЛА". RADIOELECTRONIC AND COMPUTER SYSTEMS, № 3 (30 вересня 2019): 63–72. http://dx.doi.org/10.32620/reks.2019.3.07.

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Motivation. One of the tasks of nuclear power plants and other potentially dangerous objects monitoring employing unmanned aerial vehicles (UAV) is flying over specified points of the territory of such objects. Finding the optimum routes often involves different options for the traveling salesman problem solving. However, if there are multiple starting positions, there is a need to solve the traveling salesman problem for each variant of the UAV start (for each variant of the start-end point of the route). The subject matter of the paper is the process of minimizing the flight time of visiting

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Wang, Chunyang, Zhou Zhou, and Rui Wang. "Research on Dynamic Modeling and Transition Flight Strategy of VTOL UAV." Applied Sciences 9, no. 22 (2019): 4937. http://dx.doi.org/10.3390/app9224937.

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A vertical take-off and landing (VTOL) unmanned aerial vehicle (UAV) can meet both VTOL and horizontal flight performance, but how to achieve a safe and stable transition is a research focus of this type of aircraft. According to the overall configuration characteristics of VTOL UAV, aerodynamic models of lift fan, lift duct and induced wing surface of VTOL UAV were established. Three flight modes of induced VTOL UAV are studied, including hover, transition and horizontal flight. The method of longitudinal flight balance of UAV in transition mode is also studied. Finally, a UAV is taken as an

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Dahmane, Sofiane, Mohamed Bachir Yagoubi, Bouziane Brik, Chaker Abdelaziz Kerrache, Carlos Tavares Calafate, and Pascal Lorenz. "Multi-Constrained and Edge-Enabled Selection of UAV Participants in Federated Learning Process." Electronics 11, no. 14 (2022): 2119. http://dx.doi.org/10.3390/electronics11142119.

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Unmanned aerial vehicles (UAVs) have gained increasing attention in boosting the performance of conventional networks due to their small size, high efficiency, low cost, and autonomously nature. The amalgamation of UAVs with both distributed/collaborative Deep Learning (DL) algorithms, such as Federated Learning (FL), and Blockchain technology have ushered in a new paradigm of Secure Multi-Access Edge Computing (S-MEC). Indeed, FL enables UAV devices to leverage their sensed data to build local DL models. The latter are then sent to a central node, e.g., S-MEC node, for aggregation, in order t

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Fotheringham, M., and D. R. Paudyal. "COMBINING TERRESTRIAL SCANNED DATASETS WITH UAV POINT CLOUDS FOR MINING OPERATIONS." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-4-2021 (June 17, 2021): 129–38. http://dx.doi.org/10.5194/isprs-annals-v-4-2021-129-2021.

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Abstract. Surveyors of open cut mining operations employ multiple data acquisition techniques such as the use of Unmanned Aerial Vehicles (UAV), Terrestrial Laser Scanning (TLS) and GNSS positioning for creating 3D surface models. Surveyors, mine planners and geologists are increasingly combining point cloud datasets to achieve more detailed surface models for the use of material reconciliation and volume calculations. Terrestrial Laser Scanning and UAV photogrammetry have enabled large, accurate and time effective data collection and increased computing capacity enables geospatial professiona

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Puliti, Stefano, Svein Solberg, and Aksel Granhus. "Use of UAV Photogrammetric Data for Estimation of Biophysical Properties in Forest Stands Under Regeneration." Remote Sensing 11, no. 3 (2019): 233. http://dx.doi.org/10.3390/rs11030233.

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The objective of this study was to assess the use of unmanned aerial vehicle (UAV) data for modelling tree density and canopy height in young boreal forests stands. The use of UAV data for such tasks can be beneficial thanks to the high resolution and reduction of the time spent in the field. This study included 29 forest stands, within which 580 clustered plots were measured in the field. An area-based approach was adopted to which random forest models were fitted using the plot data and the corresponding UAV data and then applied and validated at plot and stand level. The results were compar

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Shults, R., and A. Annenkov. "BIM AND UAV PHOTOGRAMMETRY FOR SPATIAL STRUCTURES SUSTAINABILITY INVENTORY." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-5/W2-2023 (June 13, 2023): 99–104. http://dx.doi.org/10.5194/isprs-archives-xlviii-5-w2-2023-99-2023.

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Abstract. The paper describes the basic concept of the integration between UAV surveying results and BIM. As a case study, it was considered the large spatial shell that served as a hangar for the Antonov An-225 Mriya, the largest in the world strategic cargo aircraft with a maximum take-off weight of 640 tons. Due to an explosion inside, the hangar and aircraft were significantly damaged. The key point of the study is the damage estimation by analysis and modeling of this unique engineering structure. The study has included several steps: hangar structure documentation (before damage), UAV su

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Gao, Yang, and Na Lv. "UAV Swarm Cooperative Situation Awareness Theory Model Construction and Scenario Analysis." Journal of Physics: Conference Series 2504, no. 1 (2023): 012013. http://dx.doi.org/10.1088/1742-6596/2504/1/012013.

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Abstract The Unmanned Aerial Vehicle (UAV) swarm collaborative operations is one of the disruptive technologies in future information warfare. Considering the characteristics of UAV swarm collaborative operation, we propose two UAV swarm cooperative situation awareness (SA) theory models based on the classical ones and the composition of UAV swarm. Firstly, the improved Endsley three-level SA model is proposed, in which the traditional mental model is changed into human machine intelligent model on the individual level. Then the homogeneous swarm and heterogeneous swarm cooperative SA model ar

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