Estimation of minimum alerting boundaries in winds for small unmanned aircraft systems

Scott Xiang Fang, Siu O'Young, Luc Rolland

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
212 Downloads (Pure)


To achieve a level of safety equivalent to manned aircraft in the national airspace system, the pilot-in-command of small unmanned aircraft systems should be able to maintain situational awareness and make necessary maneuvres to avoid potential conflicts with nearby air traffic during mid-air encounters. However, due to ever-changing flight environments, the pilot-in-command often mis-estimates conflict risks and cannot engage the appropriate maneuvers
to prevent mid-air traffic from violating the safety boundaries of small unmanned aircraft systems. To fix this problem, a Monte Carlo simulation-based method is therefore introduced and designed in this paper to quantitatively determine the alerting threshold boundaries in various wind conditions for detect-and-avoid systems to help the pilot-in-command identify hazards and trigger avoidance maneuvers before a safety boundary violation occurs.
Original languageEnglish
Pages (from-to)530-543
Number of pages14
JournalJournal of Aerospace Information Systems
Issue number9
Early online date17 Jul 2018
Publication statusE-pub ahead of print - 17 Jul 2018


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