Application of “Well Clear” to Small Drones

Peinecke, Niklas; Limmer, L.; Volkert, Andreas

doi:10.1109/dasc.2018.8569719

Cited by 11 publications

(1 citation statement)

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“…While strategic conflict avoidance has been identified as a major service in U-space it has also been stated that DAA will play a role as one of the main capabilities in U-space that complement the given services [25]. The aspect of DAA and the related area of remain well-clear (RWC) has been recently investigated [35,36]. Software developed in these contexts has been re-used in later investigations [37].…”

Section: Increased Automation and Conflict Detectionmentioning

confidence: 99%

Air Traffic Management as a Vital Part of Urban Air Mobility—A Review of DLR’s Research Work from 1995 to 2022

et al. 2023

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Urban air mobility is a rapidly growing field of research. While drones or unmanned aerial vehicles have been operated mainly in the private and military sector in the past, an increasing range of opportunities is opening up for commercial applications. A new multitude of passenger-carrying drone or air taxi concepts promises to fulfill the dream of flying above congested urban areas. While early research has been focusing on vehicle development, solutions for urban air traffic management are lagging behind. This paper collects and reviews the main findings of past urban-air-mobility-related research projects at the German Aerospace Center (DLR) to serve as a basis for ongoing research from an air traffic management perspective.

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Section: Increased Automation and Conflict Detectionmentioning

confidence: 99%

Air Traffic Management as a Vital Part of Urban Air Mobility—A Review of DLR’s Research Work from 1995 to 2022

et al. 2023

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Quantifying Well Clear for Autonomous Small UAS

2022

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Air traffic safety is the primary concern when it comes to the integration of Unmanned Aircraft Systems in the civil airspace. At the tactical level, the goal is to quantify en-route safety through pairwise separation minima. Unmanned Aircraft Systems make use of Detect and Avoid systems to remain, or regain well clear from other aircraft. There is already a well clear definition adopted for large Unmanned Aircraft Systems, however, this definition is not adequate and applicable to small Unmanned Aircraft Systems operating in low altitudes. In order to ensure the safe separation of various types of sUAS with different performances, a self-separation method is proposed. The method is based on dynamic protection zone, an early concept developed by US Air Force and later adapted into a time-based Detect and Avoid self-separation method. This paper outlines an engineering approach on designing a generic methodology, to define well clear among small Unmanned Aircraft Systems. For this purpose, both unmanned aircraft and systems performance are considered. Furthermore, we specify and recommend appropriate well clear thresholds and Detect and Avoid alerting times, based on the results the severity of loss of well clear. Several influencing factors such encounter geometry, speed and uncertainties in Communication, Navigation and Surveillance systems are examined to obtain efficient separation criteria.

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DroneCAST – Analysis of Requirements and Discussion of First Design Decisions

Schalk

Becker

2022

2022 IEEE/AIAA 41st Digital Avionics Systems Conference (DASC)

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Application of “Well Clear” to Small Drones

Cited by 11 publications

References 1 publication

Air Traffic Management as a Vital Part of Urban Air Mobility—A Review of DLR’s Research Work from 1995 to 2022

Air Traffic Management as a Vital Part of Urban Air Mobility—A Review of DLR’s Research Work from 1995 to 2022

Quantifying Well Clear for Autonomous Small UAS

DroneCAST – Analysis of Requirements and Discussion of First Design Decisions

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