Guidelines for the Integration of Autonomous UAS into the Global ATM

Gimenes, Ricardo Alexandre Veiga; Vismari, Lúcio F.; Avelino, Valter F.; Camargo, João Batista; Almeida, Jorge Rady de; Cugnasca, Paulo Sérgio

doi:10.1007/s10846-013-9945-0

Cited by 20 publications

(11 citation statements)

References 13 publications

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“…The results of such an experiment indicated that the UAS pilots were able to comply with ATC instructions and that the new system improved situation awareness and reduced workload associated with UAS and ATC communications. Gimenes et al (2013) examined the necessary regulations required for the safest integration of UASs' in the NAS. The author proposes guidelines intended to support UAS regulations for future integration of UASs' into the Global Air Traffic Management System (GATM).…”

Section: Literature Reviewmentioning

confidence: 99%

Investigation into Unmanned Aircraft System Incidents in the National Airspace System

Sharma¹

2016

IJAAA

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Section: Literature Reviewmentioning

confidence: 99%

Investigation into Unmanned Aircraft System Incidents in the National Airspace System

Sharma¹

2016

IJAAA

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“…Guidelines for the safety integration of autonomous UAS into civil airspace has been proposed in [47], which presents the challenges and proposes solutions to overcome them by both the UAV manufacturers/operators and the civil aviation organisations. Reference [48] reviews the manned aviation policies, procedures, and requirements and relates them to the equivalent policies and requirements for unmanned aviation.…”

Section: Uav Integration In Civil Airspacementioning

confidence: 99%

Visual Flight Rules-Based Collision Avoidance Systems for UAV Flying in Civil Aerospace

Alturbeh

Whidborne

2020

Robotics

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The operation of Unmanned Aerial Vehicles (UAVs) in civil airspace is restricted by the aviation authorities, which require full compliance with regulations that apply for manned aircraft. This paper proposes control algorithms for a collision avoidance system that can be used as an advisory system or a guidance system for UAVs that are flying in civil airspace under visual flight rules. A decision-making system for collision avoidance is developed based on the rules of the air. The proposed architecture of the decision-making system is engineered to be implementable in both manned aircraft and UAVs to perform different tasks ranging from collision detection to a safe avoidance manoeuvre initiation. Avoidance manoeuvres that are compliant with the rules of the air are proposed based on pilot suggestions for a subset of possible collision scenarios. The proposed avoidance manoeuvres are parameterized using a geometric approach. An optimal collision avoidance algorithm is developed for real-time local trajectory planning. Essentially, a finite-horizon optimal control problem is periodically solved in real-time hence updating the aircraft trajectory to avoid obstacles and track a predefined trajectory. The optimal control problem is formulated in output space, and parameterized by using B-splines. Then the optimal designed outputs are mapped into control inputs of the system by using the inverse dynamics of a fixed wing aircraft.

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“…Leaders within the U.S. FAA have selected six test sites to provide UAS operational experience and research knowledge to ensure safe integration into the NAS [35] . The selection of these test sites was in direct response to the lack of scientific evidence needed for risk quantification and identification of yet to be defined safety standards necessary for safe integration [36]. Additionally, the U.S. Congress mandated the establishment of a test site program.…”

Section: Faa Designated Test Sitesmentioning

confidence: 99%

Influencing Factors for Use of Unmanned Aerial Systems in Support of Aviation Accident and Emergency Response

Terwilliger¹,

Vincenzi²,

Ison³

et al. 2015

JOACE

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examine the influencing factors associated with the use of unmanned aerial system (UAS) technology to support aviation accident and emergency response. The ability of first responders to react to an emergency is dependent on the quality, accuracy, timeliness, and usability of information. With aviation accidents such as the Asiana Airlines Flight 214 crash at San Francisco International Airport, the ability to sense and communicate the location of victims may reduce the potential for accidental passenger death. Furthermore, the ability to obtain information enroute to an accident may also to assist to reduce overall response and coordination time of first responders (e.g., Aviation Rescue and Firefighting [ARFF]). By identifying and examining current and potential practices, capabilities, and technology (e.g., human-machine-interface [HMI], human factors, tools, and capability modifiers) a more comprehensive model of the influencing factors is established to further support the growing body of knowledge (i.e., safety, human computer interaction, human-robot systems, socio-economical systems, service and public sector systems, and technological forecasting). A series of recommendations regarding the technology and application are provided to support future development or adaptation of regulations, policies, or future research.

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Guidelines for the Integration of Autonomous UAS into the Global ATM

Cited by 20 publications

References 13 publications

Investigation into Unmanned Aircraft System Incidents in the National Airspace System

Investigation into Unmanned Aircraft System Incidents in the National Airspace System

Visual Flight Rules-Based Collision Avoidance Systems for UAV Flying in Civil Aerospace

Influencing Factors for Use of Unmanned Aerial Systems in Support of Aviation Accident and Emergency Response

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