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Analysis of Well-Clear Boundary Models for the Integration of Uas in the NAS
| AUTHOR | Nasa, National Aeronautics and Space Adm |
| PUBLISHER | Independently Published (01/14/2019) |
| PRODUCT TYPE | Paperback (Paperback) |
Description
The FAA-sponsored Sense and Avoid Workshop for Unmanned Aircraft Systems (UAS) defnes the concept of sense and avoid for remote pilots as "the capability of a UAS to remain well clear from and avoid collisions with other airborne traffic." Hence, a rigorous definition of well clear is fundamental to any separation assurance concept for the integration of UAS into civil airspace. This paper presents a family of well-clear boundary models based on the TCAS II Resolution Advisory logic. Analytical techniques are used to study the properties and relationships satisfied by the models. Some of these properties are numerically quantifed using statistical methods. Upchurch, Jason M. and Munoz, Cesar A. and Narkawicz, Anthony J. and Chamberlain, James P. and Consiglio, Maria C. Langley Research Center WBS 425425.04.01.07.02
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Product Format
Product Details
ISBN-13:
9781793970909
ISBN-10:
1793970904
Binding:
Paperback or Softback (Trade Paperback (Us))
Content Language:
English
More Product Details
Page Count:
26
Carton Quantity:
157
Product Dimensions:
8.50 x 0.05 x 11.00 inches
Weight:
0.19 pound(s)
Country of Origin:
US
Subject Information
BISAC Categories
Science | Space Science - General
Descriptions, Reviews, Etc.
publisher marketing
The FAA-sponsored Sense and Avoid Workshop for Unmanned Aircraft Systems (UAS) defnes the concept of sense and avoid for remote pilots as "the capability of a UAS to remain well clear from and avoid collisions with other airborne traffic." Hence, a rigorous definition of well clear is fundamental to any separation assurance concept for the integration of UAS into civil airspace. This paper presents a family of well-clear boundary models based on the TCAS II Resolution Advisory logic. Analytical techniques are used to study the properties and relationships satisfied by the models. Some of these properties are numerically quantifed using statistical methods. Upchurch, Jason M. and Munoz, Cesar A. and Narkawicz, Anthony J. and Chamberlain, James P. and Consiglio, Maria C. Langley Research Center WBS 425425.04.01.07.02
Show More