Towards U-space conflict management services based on 4D protection bubbles

Dubot, Thomas; Joulia, Antoine

doi:10.2514/6.2021-2347

Cited by 4 publications

(2 citation statements)

References 8 publications

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“…In terms of in-flight conflict resolution, see-and-avoid [39] and velocity-obstacle methods [40] have been traditionally used for UAS collision avoidance. More recently, the use of 4D bubbles for conflict management has been applied in the U-space [41]. Moreover, a method to predict conflicts and adapt the velocity vectors to avoid them has been proposed [42].…”

Section: B Related Work For Threat Managementmentioning

confidence: 99%

Threat Management Methodology for Unmanned Aerial Systems Operating in the U-Space

Capitán

Castaño

et al. 2022

IEEE Access

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This paper presents a threat management methodology for Unmanned Aircraft Systems (UAS) operating in the civil airspace. The work is framed within an Unmanned Traffic Management (UTM) system based on the U-space initiative. We propose a new method that focuses on providing the required automated decision-making during real-time threat management and conflict resolution, which is one of the main gaps in the current U-space ecosystem. Our method is capable of handling all commonplace UTM threats, as well as selecting optimal mitigation actions, trading off efficiency and safety. Our implementation is open-source and fully integrated in a UTM software architecture, implementing U-space services related to emergency management and tactical deconfliction. We demonstrate our methodology through a set of realistic use cases with actual UAS operating in civil airspace. For that, we performed field experiments in an aerodrome with segregated airspace, and we showcased that the methodology is capable of autonomously managing heterogeneous threats in real time.

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Section: B Related Work For Threat Managementmentioning

confidence: 99%

Threat Management Methodology for Unmanned Aerial Systems Operating in the U-Space

Capitán

Castaño

et al. 2022

IEEE Access

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“…Stage 2 -Separation Provision Service(SPS): Similar to the ATC functionalities, UTM has to offer in-flight separation as a service if the flight plans approved in stage 1 are not conflict-free during the flight. The sUAS subscribed to this service [25], gets early awareness (i.e., alarms) for possible loss of separation between other aircraft(manned/unmanned) and guidance for safe and efficient resolutions for planned operations.…”

Section: B Uas Traffic Managementmentioning

confidence: 99%

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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