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Adaptive Airborne Separation to Enable UAM Autonomy in Mixed Airspace
The excitement and promise generated by Urban Air Mobility (UAM) concepts have inspired both new entrants and large aerospace companies throughout the world to invest hundreds of millions in research and development of air vehicles, both piloted and unpiloted, to fulfill these dreams. The management and separation of all these new aircraft have received much less attention, however, and even though NASA’s lead is advancing some promising concepts for Unmanned Aircraft Systems (UAS) Traffic Management (UTM), most operations today are limited to line of sight with the vehicle, airspace reservation and geofencing of individual flights. Various schemes have been proposed to control this new traffic, some modeled after conventional air traffic control and some proposing fully automatic management, either from a ground-based entity or carried out on board among the vehicles themselves. Previous work has examined vehicle-based traffic management in the very low altitude airspace within a metroplex called UTM airspace in which piloted traffic is rare. A management scheme was proposed in that work that takes advantage of the homogeneous nature of the traffic operating in UTM airspace. This paper expands that concept to include a traffic management plan usable at all altitudes desired for electric Vertical Takeoff and Landing urban and short-distance, inter-city transportation. The interactions with piloted aircraft operating under both visual and instrument flight rules are analyzed, and the role of Air Traffic Control services in the postulated mixed traffic environment is covered. Separation values that adapt to each type of traffic encounter are proposed, and the relationship between required airborne surveillance range and closure speed is given. Finally, realistic scenarios are presented illustrating how this concept can reliably handle the density and traffic mix that fully implemented and successful UAM operations would entail.
NASA LaRC Autonomy Incubator
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On the Moral Hazard of Autonomy
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Model-Based Systems Engineering, Real-Time Operations and Autonomy
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Autonomy Architecture for Low-Altitude UAS Operations in UTM TCL-4+
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EVAA RTA Research Update: Expandable Variable Autonomy Architecture (EVAA) & HQ-90 Reference Implementation
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Case Studies in Verifying Spacecraft Autonomy
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Safe Aviation Autonomy with Learning-enabled Components in the Loop: From Formal Assurances to Trusted Recovery Methods
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An Autonomy Software Testbed Simulation for Ocean Worlds Missions
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Evolvable Hardware for Spacecraft Autonomy
Evolvable hardware is a recently proposed technology in which reconfigurable hardware under the control of and evolutionary (genetic) algorithm can automatically self-reconfigure into sonfigurations with the desired behavior.
An AI Approach to Ground Station Autonomy for Deep Space Communications
This paper describes an architecture for an autonomous deep space tracking station (DS-T).
Design of the Remote Agent Experiment for Spacecraft Autonomy
This paper describes the Remote Agent flight experiment for spacecraft commanding and control. In the Remote Agen approach, the operational rules and constraints are encoded in the flight software, and the software may be considered to be an autonomous
A Remote Agent Prototype for Spacecraft Autonomy
NASA has recently announced the New Millennium Program (NMP) to develop
Experiences from planetary autonomy software from research to planetary flight robots
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AutoNavigation: intuitive autonomy on Mars and at sea; the mobility system for Mars2020
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