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Piloted "Well Clear" Performance Evaluation of Detect-and-Avoid Systems with Suggestive GuidanceThis study evaluated the performance of four prototype unmanned aircraft detect-and-avoid (DAA) display configurations, each with different informational elements driven by alerting and guidance algorithms. Sixteen unmanned aircraft pilots flew each combination of the display configurations, with half being given zero DAA surveillance sensor uncertainty and the other half experiencing errors that were comparable, and in some cases slightly better than, errors that were measured in DAA system flight tests. The displays that showed intruder alert information in altitude and heading bands had significantly fewer losses of well clear compared with alternative displays that lacked that information. This difference was significant from a statistical and practical perspective: those losses that did occur lasted for shorter periods and did not penetrate as far into the geometric "separation cylinder" as those in the non-banded displays. A modest level of DAA surveillance sensor uncertainty did not affect the proportion of losses of well clear or their severity. It is recommended that DAA traffic displays implement a band-type display in order to improve the safety of UAS operations in the National Airspace System. Finally, this report provides pilot response time distributions for responding to DAA alerts.
Document ID
20170000750
Acquisition Source
Ames Research Center
Document Type
Technical Memorandum (TM)
Authors
Mueller, Eric R.
(NASA Ames Research Center Moffett Field, CA United States)
Santiago, Confesor
(NASA Ames Research Center Moffett Field, CA United States)
Watza, Spencer
(University of Western Michigan Kalamazoo, MI, United States)
Date Acquired
January 24, 2017
Publication Date
October 1, 2016
Subject Category
Air Transportation And Safety
Report/Patent Number
ARC-E-DAA-TN36266
NASA/TM-2016-219396
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
unmanned aircraft system
detect and avoid
pilot-in-the-loop simulation
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