Autonomous Contingency Detection and Reaction for Unmanned Aircraft, Phase I

Metadata Updated: February 28, 2019

Unmanned aircraft systems (UAS) and, in particular, intelligent, autonomous aircraft operating in the national airspace system (NAS) have the potential to significantly impact modern society. They could perform difficult and dangerous tasks such as fire fighting, border patrol, and search and rescue, and dull tasks such as surveying crops. The elimination of a cockpit and pilot makes UAS operation attractive from an economic standpoint. In addition, much of the technology used for autonomy could benefit manned flight as a pilot's aid to help in tasks such as landing on an offshore oil rig. Open questions remain, however, about how unmanned autonomous aircraft can be safely incorporated into the NAS. UAS operating in the NAS must (1) sense and avoid other vehicles and follow air traffic commands, (2) avoid the terrain and land safely without operator intervention, (3) react to contingencies such as engine-out and lost-link scenarios, and (4) be reliable (by FAA airworthiness standards) and cost-effective. The current approach for UAS integration relies on radio links and the operator's acuity to direct them safely. Lost links, however, are unavoidable. UAS must have the capability to make their own decisions based on information available via databases and any information discovered by onboard sensors. Near Earth Autonomy proposes to develop technologies and capabilities leading to fully autonomous systems that are able to discover and adapt to unpredicted changes in their environment, and yet still accomplish the mission, with minimal or no human involvement. This proposal focuses on developing an Autonomous Contingency System in the form of sensors and computer software that will enable UAS of the future to be operable safely in the NAS. Additionally, the proposal addresses how the technical challenges can be met and how the technology developed can be shown to be both trustworthy and commercially viable for general aviation.

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Public: This dataset is intended for public access and use. License: U.S. Government Work

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Metadata Created Date August 1, 2018
Metadata Updated Date February 28, 2019

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date August 1, 2018
Metadata Updated Date February 28, 2019
Publisher Space Technology Mission Directorate
Unique Identifier TECHPORT_90150
Maintainer Email
Public Access Level public
Bureau Code 026:00
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Catalog Describedby
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Harvest Source Id 39e4ad2a-47ca-4507-8258-852babd0fd99
Harvest Source Title NASA Data.json
Data First Published 2016-12-01
Homepage URL
Data Last Modified 2018-07-19
Program Code 026:027
Source Datajson Identifier True
Source Hash d0f4e680b956fc625b811e5a97506741125e2f13
Source Schema Version 1.1

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