Unmanned Aircraft System Sense and Avoid Integrity and Continuity: Uncertainty in Aircraft Dynamics

Jamoom, Michael B.; Joerger, Mathieu; Pervan, Boris

doi:10.2514/6.2016-2195

Cited by 8 publications

(2 citation statements)

References 20 publications

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“…MIT LL has used these encounter models for several operational assessments, including safety assessments of aircraft avoidance systems for manned and unmanned aircraft [7,[11][12][13][14][15][16][17] or standards development or trade studies [2,3,18]. Non-MIT LL efforts include estimating collision detection and risk and estimation of aircraft dynamics [19][20][21][22].…”

Section: Manned Aircraft Encounter Modelsmentioning

confidence: 99%

Well-Clear Recommendation for Small Unmanned Aircraft Systems Based on Unmitigated Collision Risk

Weinert

Campbell

Vela

et al. 2018

Journal of Air Transportation

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Unmanned aircraft systems must demonstrate a capability to sense and avoid air traffic as part of a layered conflict management system to enable safe operations in the National Airspace System. During operations, an unmanned aircraft system should attempt to remain "well clear" to minimize the need for a collision avoidance action. Previously, a well-clear definition was adopted for large unmanned aircraft systems; however, this definition is not appropriate for small unmanned aircraft system weighing less than 55 lb operating at low altitudes. In response, this paper outlines research toward a definition of well clear for small unmanned aircraft systems, based on airborne collision risk, for midterm concepts of operations at low altitudes in nonterminal airspace.

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Section: Manned Aircraft Encounter Modelsmentioning

confidence: 99%

Well-Clear Recommendation for Small Unmanned Aircraft Systems Based on Unmitigated Collision Risk

Weinert

Campbell

Vela

et al. 2018

Journal of Air Transportation

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“…The separation thresholds must be quantitatively defined for the UAS to autonomously maintain self-separation, which currently are mainly determined subjectively by pilots [12]. The Sense & Avoid Science and Research Panel (SARP), a US agency established in 2011, considers the quantitative definition of separation thresholds for UAS the top priority in future research [13].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Separation Thresholds for Self-Separation of Unmanned Aircraft System in Dynamic Airspace

Zhang

2019

IEEE Access

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The key challenge to integrate the unmanned aircraft system (UAS) into airspace is to develop a means to sense and avoid (SAA) other aircrafts. The main function of the SAA is self-separation, i.e. remaining ''well clear'' of the other aircrafts. The separation thresholds must be quantitatively defined for the UAS to autonomously maintain self-separation. In this paper, the separation thresholds are defined quantitatively for the UAS in a dynamic airspace full of aircrafts that differ in motion state and performance. Then, a ''sector-like'' dynamic collision-free region (CFR) was set up around the UAS. The size of the CRF can be adjusted adaptively according to the relative motion states of the surrounding intruders, the performance of the UAS, and the altitude of the airspace. The simulation results show that the proposed adaptive separation thresholds adapted to the dynamic airspace environment better than the fixed separation thresholds recommended by Sense & Avoid Science and Research Panel (SARP), and controlled the missing and false alarm rates on low levels. This means our adaptive separation thresholds can effectively balance the safety and operation efficiency of the airspace. INDEX TERMS Unmanned aircraft system (UAS), airspace integration, well clear (WC), self-separation, collision avoidance, separation thresholds, sense and avoid (SAA).

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Commercial Unmanned Aircraft Systems (UAS)

Haag

Dill

Young

et al. 2020

Position, Navigation, and Timing Technologies in the 21st Century

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Unmanned Aircraft System Sense and Avoid Integrity and Continuity: Uncertainty in Aircraft Dynamics

Cited by 8 publications

References 20 publications

Well-Clear Recommendation for Small Unmanned Aircraft Systems Based on Unmitigated Collision Risk

Well-Clear Recommendation for Small Unmanned Aircraft Systems Based on Unmitigated Collision Risk

Adaptive Separation Thresholds for Self-Separation of Unmanned Aircraft System in Dynamic Airspace

Commercial Unmanned Aircraft Systems (UAS)

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