Drone Stations in Airports for Runway and Airplane Inspection Using Image Processing Techniques

Sappington, Rebecca N.; Acosta, Gabriel A.; Hassanalian, Mostafa; Lee, Kooktae; Morelli, R.

doi:10.2514/6.2019-3316

Cited by 31 publications

(19 citation statements)

References 14 publications

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“…Drones have a variety of applications in our daily life that have attracted the attention of many researchers around the world [1][2][3][4][5][6] . Therefore, everyday novel concepts of the drones that are able to fly and perform various missions autonomously in different environments are being developed [7][8][9] .…”

Section: Introductionmentioning

confidence: 99%

Placement of UAV-Mounted Mobile Base Station through User Load-Feature K-means Clustering

Mirzaeinia

Shekaramiz

et al. 2020

Aiaa Aviation 2020 Forum

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Temporary high traffic requests in cellular networks is a challenging problem to address. Recent advances in Unmanned Aerial Vehicles applied to cover these types of traffics. UAV-Mounted Mobile Base Stations placement is a challenging problem to achieve high performance. Different approaches have been proposed; however, user required traffic is not considered in UAV placement. We propose a new feature to apply to K-means clustering to find the optimum clusters. User required traffic is defined as a new feature to assign users to the UAVs. Our simulation results show that UAVs could be placed closer to the high traffic users to achieve higher performance.

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Section: Introductionmentioning

confidence: 99%

Placement of UAV-Mounted Mobile Base Station through User Load-Feature K-means Clustering

Mirzaeinia

Shekaramiz

et al. 2020

Aiaa Aviation 2020 Forum

Self Cite

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“…Remotely controlled drones can significantly reduce the number of required staff and prevent human injuries. Thus, companies invest in using drones in a variety of applications, such as construction and industrial sites [29,131] and aerospace components [132,133]. However, aerial platforms bring out some limitations, which need to be addressed.…”

Section: Challenges Of Drone-enabled Aerial Inspectionmentioning

confidence: 99%

Drone-Based Non-Destructive Inspection of Industrial Sites: A Review and Case Studies

Nooralishahi

Ibarra-Castanedo

Deane

et al. 2021

Drones

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Using aerial platforms for Non-Destructive Inspection (NDI) of large and complex structures is a growing field of interest in various industries. Infrastructures such as: buildings, bridges, oil and gas, etc. refineries require regular and extensive inspections. The inspection reports are used to plan and perform required maintenance, ensuring their structural health and the safety of the workers. However, performing these inspections can be challenging due to the size of the facility, the lack of easy access, the health risks for the inspectors, or several other reasons, which has convinced companies to invest more in drones as an alternative solution to overcome these challenges. The autonomous nature of drones can assist companies in reducing inspection time and cost. Moreover, the employment of drones can lower the number of required personnel for inspection and can increase personnel safety. Finally, drones can provide a safe and reliable solution for inspecting hard-to-reach or hazardous areas. Despite the recent developments in drone-based NDI to reliably detect defects, several limitations and challenges still need to be addressed. In this paper, a brief review of the history of unmanned aerial vehicles, along with a comprehensive review of studies focused on UAV-based NDI of industrial and commercial facilities, are provided. Moreover, the benefits of using drones in inspections as an alternative to conventional methods are discussed, along with the challenges and open problems of employing drones in industrial inspections, are explored. Finally, some of our case studies conducted in different industrial fields in the field of Non-Destructive Inspection are presented.

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“…An important parameter on aerial navigation is awareness of the surrounding environment including being in close proximity between cooperating or evasive drones [21,22] to avoid potential contacts.…”

Section: Drone Awareness Of Surrounding Environmentmentioning

confidence: 99%

Development of a Versatile Modular Platform for Aerial Manipulators

Evangeliou¹,

Τσουκαλάς²,

Giakoumidis³

et al. 2020

Service Robotics

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The scope of this chapter is the development of an aerial manipulator platform using an octarotor drone with an attached manipulator. An on-board spherical camera provides visual information for the drone’s surroundings, while a Pan-Tilt-Zoom camera system is used to track targets. A powerful computer with a GPU offers significant on-board computational power for the visual servoing of the aerial manipulator system. This vision system, along with the Inertial Management Unit based controller provides exemplary guidance in confined and outdoor spaces. Coupled with the manipulator’s force sensing capabilities the system can interact with the environment. This aerial manipulation system is modular as far as attaching various payloads depending on the application (i.e., environmental sensing, facade cleaning and others, aerial netting for evader-drone geofencing, and others). Experimental studies using a motion capture system are offered to validate the system’s efficiency.

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Drone Stations in Airports for Runway and Airplane Inspection Using Image Processing Techniques

Cited by 31 publications

References 14 publications

Placement of UAV-Mounted Mobile Base Station through User Load-Feature K-means Clustering

Placement of UAV-Mounted Mobile Base Station through User Load-Feature K-means Clustering

Drone-Based Non-Destructive Inspection of Industrial Sites: A Review and Case Studies

Development of a Versatile Modular Platform for Aerial Manipulators

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