Development of Pre-flight Simulator to Improve The 3D Modeling Efficiency using UAV

Kim, Jae-Koo; Kim, Ji-Sung; Jeon, Kyeong-Mi

doi:10.9728/dcs.2020.21.9.1705

Cited by 1 publication

(4 citation statements)

References 11 publications

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“…The simulator can check the quality of the 3D model before flying and supports both nadir and oblique shooting. Its efficacy has also been reported in a previous study [37]. This study focused on the developed simulator's operational algorithm and the implementation of its functions.…”

Section: Introduction 1backgroundmentioning

confidence: 55%

“…Table 1 demonstrates the essential functions of the simulator and details of each function. The basic structure of the simulator follows the one reported by Kim et al [36,37] because it is the most recently developed simulator and the only one designed specifically for shaded area detection. The system architecture was designed as shown in Figure 2.…”

Section: Target Functionmentioning

confidence: 99%

“…The simulator can be applied to an actual or virtual UAV. When applied to an actual UAV, the simulator transmits route information to the UAV using the Micro Air Vehicle The basic structure of the simulator follows the one reported by Kim et al [36,37] because it is the most recently developed simulator and the only one designed specifically for shaded area detection. The system architecture was designed as shown in Figure 2.…”

Section: Target Functionmentioning

confidence: 99%

“…To overcome these limitations, Kim et al developed a simulator that can plan the flight path and check the shading area of a 3D model in advance [36,37]. The simulator can check the quality of the 3D model before flying and supports both nadir and oblique shooting.…”

Section: Introduction 1backgroundmentioning

confidence: 99%

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Development and Validation of Unmanned Aerial Vehicle Photogrammetry Simulator for Shaded Area Detection

Kim

Kim²,

Jeon³

et al. 2022

Applied Sciences

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In unmanned aerial vehicle (UAV) photogrammetry, the qualities of three-dimensional (3D) models, including ground sample distance (GSD) and shaded areas, are strongly affected by flight planning. However, during flight planning, the quality of the output cannot be estimated, as it depends on the experience of the operator. Therefore, to reduce the time and cost incurred by repetitive work required to obtain satisfactory quality, a simulator, which can automatically generate a route, acquire images through simulation, and analyze the shaded areas without real flight, has been required. While some simulators have been developed, there are some limitations. Furthermore, evaluating the performance of the simulator is difficult owing to the lack of a validation method. Therefore, to overcome the limitations, target functions, which can plan flights and can detect shaded areas, were set, developed, and validated in this study. As a result, a simulator successfully planned a flight and detected shaded areas. In this way, the simulator was validated to determine the applicability of its performance. Furthermore, the outputs of this study can be applied to not only UAV photogrammetry simulators but also other 3D modeling simulators.

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Section: Introduction 1backgroundmentioning

confidence: 55%

Section: Target Functionmentioning

confidence: 99%

Section: Target Functionmentioning

confidence: 99%

Section: Introduction 1backgroundmentioning

confidence: 99%

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