DocumentCode :
3680574
Title :
Human-in-the-loop experimental research for detect and avoid
Author :
Maria Consiglio;Cesar Muñoz;George Hagen;Anthony Narkawicz;Jason Upchurch;James Comstock;Rania Ghatas;Michael Vincent;James Chamberlain
Author_Institution :
NASA Langley Research Center, Hampton VA, USA
fYear :
2015
Abstract :
This paper provides an overview of a Detect and Avoid (DAA) concept developed by the National Aeronautics and Space Administration (NASA) for integration of Unmanned Aircraft Systems (UAS) into the National Airspace System (NAS), and provides results from human-in-the-loop experiments performed to investigate interoperability and acceptability issues associated with use of the concept with these vehicles and operations. The series of experiments was designed to incrementally assess critical elements of the new concept and the enabling technologies that will be required.
Keywords :
"Aircraft","NASA","Air traffic control","Collision avoidance","Interoperability","Atmospheric modeling"
Publisher :
ieee
Conference_Titel :
Digital Avionics Systems Conference (DASC), 2015 IEEE/AIAA 34th
ISSN :
2155-7195
Electronic_ISBN :
2155-7209
Type :
conf
DOI :
10.1109/DASC.2015.7311423
Filename :
7311423
Link To Document :
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