Develop small Unmanned Aircraft Detect and Avoid Human Factors Requirements (A81_A11L.UAS.114)
Detect and Avoid (DAA) industry standards for small Unmanned Aircraft Systems (sUAS) provide very little information pertaining to human factors requirements. This research will leverage existing human machine interface design guidance for large unmanned aircraft DAA systems and adapt it for sUAS DAA. The research effort will also propose new requirements as applicable to account for the unique ways in which sUAS DAA operations are likely to differ in the future from large unmanned DAA systems. This will include unique operations such as large numbers of simultaneous unmanned aircraft that are Beyond Visual Line of Sight (BVLOS) and managed by only a few aircraft operators. The purpose of this research is to develop human factors requirements that support safe DAA operations, inform the FAA in assessing DAA systems and their concepts of operation, and accelerate the development of mature sUAS DAA industry standards.
POC:
Katie Silas
Applied Aviation Research Center
Email: ksilas@ksu.edu
Phone: 785.379.6365
Participating Schools
