Characterizing UAS Collision Consequences in Future UTM

Rattanagraikanakorn, Borrdephong; Sharpanskykh, Alexei; Schuurman, Michiel J.; Gransden, Derek I.; Blom, H.A.P.; Wagter, Christophe De

doi:10.2514/6.2018-3031

Cited by 7 publications

(5 citation statements)

References 12 publications

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“…Thus, we suggest an airspace priority classification, based on ICAO regulations [157]. Wide-spread concerns about drones in operating airspaces have raised the awareness for suitable drone regulation [158]- [160]. Airspace is defined across a wide area and it is difficult to cover with conventional local anti-drone systems, hence large-scale airspace drone defense system should be constructed with global (or national) drone identification infrastructure (Section IV), containing longrange identification and detection equipment.…”

Section: ) Airspace Priority Classificationmentioning

confidence: 99%

Survey on Anti-Drone Systems: Components, Designs, and Challenges

et al. 2021

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This paper presents a comprehensive survey on anti-drone systems. After drones were released for non-military usages, drone incidents in the unarmed population are gradually increasing. However, it is unaffordable to construct a military grade anti-drone system for every private or public facility due to installation and operation costs, and regulatory restrictions. We focus on analyzing antidrone system that does not use military weapons, investigating a wide range of anti-drone technologies, and deriving proper system models for reliable drone defense. We categorized anti-drone technologies into detection, identification, and neutralization, and reviewed numerous studies on each. Then, we propose a hypothetical anti-drone system that presents the guidelines for adaptable and effective drone defense operations. Further, we discuss drone-side safety and security schemes that could nullify current anti-drone methods, and propose future solutions to resolve these challenges.

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Section: ) Airspace Priority Classificationmentioning

confidence: 99%

Survey on Anti-Drone Systems: Components, Designs, and Challenges

et al. 2021

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“…Further, this work relates the risk to costs to insure the operation in order to make the results more meaningful. Similarly, recent work in characterizing the consequences of UAS collisions in the NAS [35] provide an improved understanding of the risks, paving the way for integration into a comprehensive risk analysis framework. Other recent risk assessment frameworks also seek to fulfill the FAA's need for a consistent measure of risk assessment [36] that takes into account the effect of UAS collisions with the ground.…”

Section: Risk Framework Researchmentioning

confidence: 99%

Application of Dempster–Shafer Networks to a Real-Time Unmanned Systems Risk Analysis Framework

Dunham

Johnson

Féron

et al. 2021

Journal of Aerospace Information Systems

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Unmanned Aerial Systems (UASs) are continuing to proliferate rapidly [1]. Quantitative risk assessment for UAS operations, both a-priori and during the operation, are necessary for governing authorities and insurance companies to understand the risks and properly approve operations and assign insurance premiums, respectively. This paper reports the results of the 2018 UAS Safety Symposium held at the Georgia Institute of Technology, which was conducted as part of this research. This symposium was comprised of experts in UAS law, insurance, regulations, operations, and research discussing the direction of the UAS industry and the necessary steps to move the industry forward. Those results motivate the remainder of this research including the novel application of Dempster-Shafer networks using auto-updating transition matrices to the problem of UAS risk analysis and decision-making. This research trains a DS network based on simulated operation data, tests the capabilities of the trained network to make real-time decisions on a small UAS against a baseline system in a representative mission, and explores how this system would extend to the full UAS ecosystem as discussed in the 2018 UAS safety symposium. Conclusions are drawn with respect to the research performed, and additional research tangents are proposed.

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“…Two separate analysis methods will be presented below to quantitatively assess the chance. Rattanagraikanakorn et al (2018) performed a theoretical analysis for primary impacts to determine the impact chance for different impact zone locations. For each of this location, the surface area relative to the total frontal area of the rotorcraft is estimated and presented as a percentage.…”

Section: Chance: Impact Zone Analysismentioning

confidence: 99%

“…1Rattanagraikanakorn et al (2018). 2 ARAC (2017), note that 9.42% strikes were recorded on other components.…”

mentioning

confidence: 99%

Predicting Helicopter Damage Caused by a Collision with an Unmanned Aerial System Using Explicit Finite Element Analysis

Jonkheijm¹

2022

AIAA SCITECH 2022 Forum

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Due to technological innovations in the Unmanned Aerial System (UAS) industry, the potential of these devices has increased remarkably in recent years. This led to an exponential increase in the number of shipments the last few years and this growth is expected to continue the upcoming years (Meola, 2017). The Federal Aviation Administration only permits the use of these devices without authorization in uncontrolled airspace and up to 400 ft. This airspace class is commonly shared with General Aviation aircraft and especially helicopter operators frequently operate below the UAS upper limit of 400 ft. In the United Kingdom alone, proximity incidents between UAS and aircraft have more than doubled from 40 encounters in 2015 to 94 in 2016 (Gilbert, 2017). Due to the increasing number of proximity incidents and the regularity of helicopter operations in the uncontrolled airspace, the question arises how much damage a helicopter can sustain after colliding with a UAS. Since it was not feasible for this research to actually impact a UAS on a helicopter, it was decided to simulate the collision in explicit Finite Element Analysis software. The research objective of this thesis was therefore defined as follows:The objective of this thesis was to predict the helicopter's damage caused by a collision with an Unmanned Aerial System using explicit Finite Element Analysis.

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Characterizing UAS Collision Consequences in Future UTM

Cited by 7 publications

References 12 publications

Survey on Anti-Drone Systems: Components, Designs, and Challenges

Survey on Anti-Drone Systems: Components, Designs, and Challenges

Application of Dempster–Shafer Networks to a Real-Time Unmanned Systems Risk Analysis Framework

Predicting Helicopter Damage Caused by a Collision with an Unmanned Aerial System Using Explicit Finite Element Analysis

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