An Investigation of Lighting Schemes to Improve sUAS Conspicuity

Details

• Creators:
  Williams, Kevin W. ; Mofle, Theodore C. ; Choi, Inchul ; Klevgard, Hunter
• Corporate Creators:
  United States. Department of Transportation. Federal Aviation Administration. Civil Aerospace Medical Institute ; Cherokee Nation 3-S
• Corporate Contributors:
  United States. Department of Transportation. Federal Aviation Administration. Office of Aviation. Office of Aerospace Medicine
• Subject/TRT Terms:
  • Unmanned aircraft systems
  • Drones
  • Remotely piloted aircraft
  • Crash avoidance systems
  • Crash rates
  • Air traffic control
  • Advanced automation system (Air traffic control)
  • Traffic alert and collision avoidance system
  • Aircraft navigational aids National Airspace System
  • Small unmanned aircraft systems
  More +
• Publication/ Report Number:
  DOT/FAA/AM-22/07
• DOI:
  https://doi.org/10.21949/1404265
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  United States. Department of Transportation. Federal Aviation Administration. Office of Aviation. Office of Aerospace Medicine
• Abstract:
  Increasing the visual detection and recognition range of Unmanned Aircraft Systems (UAS) and small UAS (sUAS) is vital for the safety of the National Airspace System (NAS). The last line of defense for collision avoidance is visual see-and-avoid, particularly, if/when automated Detect and Avoid (DAA) mechanisms are either not in place or have failed. As sUAS flights increase, air traffic controllers (ATC), visual observers (VO), and pilots must be able to see and track unexpected static and dynamic sUAS with enough time to perform an avoidance maneuver. One method of increasing the detection/recognition range is through intensifying the conspicuity of sUAS design through optimizing lighting methods
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/85476/dot_85476_DS1.pdf
• File Type:
  [PDF - 1.73 MB]
• Collection(s):
  FAA Civil Aerospace Medical Institute
• Main Document Checksum:
  urn:sha-512:20899050e2873b8c712c5631facd2ac7918fd1259a24f786418870b379f2f363eef6544fa926208464b8408d2fe15322dfac937d947790b76844c672082d26b6