Conceptual Study of a Smart Docking System for VTOL-UAV

Byun, Young-Seop; Song, Jun-Beom; Song, Woo‐Jin; Kang, Beom-Soo

doi:10.1061/(asce)as.1943-5525.0000508

Cited by 14 publications

(5 citation statements)

References 6 publications

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“…While this study showed that both, direct and diffuse illumination conditions are conducive to the acquisition of useable datasets, gaps in time‐series result from too changeable conditions, too high wind‐speeds and other limitations. For dedicated study sites, fully automated deployment informed, for example, by weather‐station data from a hub including battery recharging station as is being pioneered in robotics and smart‐cities research (Byun et al, 2016; Galkin et al, 2019; Menouar et al, 2017) may soon offer the desired solution.…”

Section: Discussionmentioning

confidence: 99%

Monitoring spring phenology of individual tree crowns using drone‐acquired NDVI data

Fawcett

Bennie

Anderson

2020

Remote Sens Ecol Conserv

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Quantifying the timing of vegetation phenology is critical for monitoring and modelling ecosystem responses to environmental change. Phenological processes have been studied from landscape to global scales using Earth observing satellite data, and at local scale by in situ surveys of individual plants. Now, data acquired from multi-spectral sensors on drone platforms provide flexible opportunities for monitoring phenology from individual plants to small ecosystem scales efficiently, allowing community and species level information to be derived. We captured a time-series of drone-acquired normalized difference vegetation index (NDVI) data with a multi-spectral sensor (Parrot Sequoia, (Parrot, France)) over a highly heterogeneous ecosystem in Cornwall, UK, during a period of spring green-up. We monitored NDVI trajectories at the individual crown and species' level. For deciduous crowns, we derived metrics representative of spring phenological stages: Start-of-spring (SOS), middle-ofspring green-up (MOG) and start-of-peak greenness (SOP) using a logistic function. While the exact timing of SOS, MOG and SOP appeared susceptible to understorey effects and saturation of the NDVI, relative timing of green-up for a subset of species was plausible in relation to phenological observations from an extended geographic region and in situ plant area index (PAI) measurements. In evergreen vegetation (Pinus spp.) subtle changes were also detected through the growing season. The impact of illumination differences was analysed for image pairs during leaf-off and leaf-on conditions. While significant, these effects were small (mean absolute NDVI deviation of up to 0.034 for leaf-off, 0.013 for leaf-on conditions), meaning that data captured under both constant direct and diffuse irradiance conditions can be used together and that cloudy conditions should not lead to data gaps. We conclude that the capability of drone-mounted multi-spectral instruments for spatio-temporal characterization of crown-level phenology shows great promise for improving the understanding of intra-and inter-species differences in strategy, and offers an efficient means of doing so over areas of a few hectares.

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Section: Discussionmentioning

confidence: 99%

Monitoring spring phenology of individual tree crowns using drone‐acquired NDVI data

Fawcett

Bennie

Anderson

2020

Remote Sens Ecol Conserv

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“…Both longitudinal and lateral modes are necessary for all equations that work to elaborate and add flight assumptions (linear model and ignore flight disturbances such as wind, thermal, and weather). Then, we obtain the general equations of the longitudinal mode flight model in the form of a statespace model structure [63], [64] in Equation (13).…”

Section: Analytical Modelingmentioning

confidence: 99%

“…Operating a multi-copter is not optimal as its coverage is minimal, although it does not need open space for take-off and landing. The solution is a hybrid vertical take-off and landing (VTOL) UAV [8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26]. This type of UAV can take off, land vertically like a multicopter, and transition to the fixed-wing mode for flight efficiency at a safe altitude [27][28][29][30][31][32].…”

Section: Introductionmentioning

confidence: 99%

Validation of Quad Tail-sitter VTOL UAV Model in Fixed Wing Mode

Priyambodo

Majid²,

Shouran³

2023

Journal of Robotics and Control

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Vertical take-off and landing (VTOL) is a type of unmanned aerial vehicle (UAV) that is growing rapidly because its ability to take off and land anywhere in tight spaces. One type of VTOL UAV, the tail-sitter, has the best efficiency. However, besides the efficiency offered, some challenges must still be overcome, including the complexity of combining the ability to hover like a helicopter and fly horizontally like a fixed-wing aircraft. This research has two contributions: in the form of how the analytical model is generated and the tools used (specifically for the small VTOL quad tail-sitter UAV) and how to utilize off-the-shelf components for UAV empirical modeling. This research focuses on increasing the speed and accuracy of the UAV VTOL control design in fixed-wing mode. The first step is to carry out analysis and simulation. The model is analytically obtained using OpenVSP in longitudinal and lateral modes. The next step is to realize this analytical model for both the aircraft and the controls. The third step is to measure the flight characteristics of the aircraft. Based on the data recorded during flights, an empirical model is made using system identification technique. The final step is to vali-date the analytical model with the empirical model. The results show that the characteristics of the analytical mode fulfill the specified requirements and are close to the empirical model. Thus, it can be concluded that the analytical model can be implemented directly, and consequently, the VTOL UAV design and development process has been shortened.

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“…With the help of an infrared beacon on the docking device and an infrared tracking device on the UAV, a stable docking process can be performed even under strong wind and poor sensor signals. The authors in [116] developed a sphericalshaped docking interface. The UAV had a sphere-shaped form and a retractable landing gear to be able to land on flat surfaces.…”

Section: Docking Mechanismmentioning

confidence: 99%

Systematic literature review of applications and usage potentials for the combination of unmanned aerial vehicles and mobile robot manipulators in production systems

Sinnemann

Boshoff

Dyrska

et al. 2022

Prod. Eng. Res. Devel.

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The cooperation of Unmanned Aerial Vehicles (UAVs) and Mobile Robot Manipulators (MRMs) offers enormous possibilities to modern industry. It paves the way for logistics, cooperative assembling or manipulation and will provide even more flexibility and autonomy to today’s manufacturing processes. Currently, some systematic literature reviews exist that provide an overview on research fields and gaps in the field of UAVs and MRMs. However, an investigation of the research landscape for combined use of UAVs and MRMs does not exist to the best of the authors’ knowledge. Therefore, in this paper, a systematic review of the current research landscape for the combined use of UAV and MRM is conducted to finally identify fields of action that need to be addressed in the future to harness the full potential.

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Conceptual Study of a Smart Docking System for VTOL-UAV

Cited by 14 publications

References 6 publications

Monitoring spring phenology of individual tree crowns using drone‐acquired NDVI data

Monitoring spring phenology of individual tree crowns using drone‐acquired NDVI data

Validation of Quad Tail-sitter VTOL UAV Model in Fixed Wing Mode

Systematic literature review of applications and usage potentials for the combination of unmanned aerial vehicles and mobile robot manipulators in production systems

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