Refining Fault Trees for Accurate Risk Assessment of Unmanned Aerial Systems (UAS)

Leung, Tszhim.


  • Abstract: Unmanned aerial systems (UAS) are unlike most of the aircraft that currently operate in the National Airspace because they lack human pilots. Existing risk assessment methods, specifically fault trees, are not well-suited for unmanned aircraft as: (1) they cannot accurately model all the risks of the automated software in UAS and (2) are overconservative when representing general ... read more
This object is in collection Creator department Thesis Type Genre Permanent URL
To Cite:
DCA Citation Guide    EndNote