Development of a Surrogate Autonomous Aircraft for Entry in the NASA Airspace Operation Challenge

Richard Anderson, Hever Moncayo, Richard J. Prazenica, D. Mirmirani, Alfonso Noriega, Brandon Burnett, Vinod P. Gehlot, Zachary Kern

Research output: Contribution to conferencePresentation

Abstract

The integration of UAS into the National Airspace, although imminent, still presents several technological challenges. Before a sucessful integration can occur, it is necessary to demonstrate different technologies in traffic detection, traffic avoidance, and communications, as well as in the integration of those technologies as a single unit. For this purpose, NASA developed its UAS  Airspace  Operation  Challenge;  a  Centennial  Challenge aimed at the demonstration of these technologies. The challenge consists of developing a UAS solution that can navigate autonomously while detecting and avoiding traffic using ADS-B signals. Embry-Riddle Aeronautical Univeristy developed an entry to this challenge: a UAS consisting of a surrogate UAV, a ground station, and a data link. The traffic detection challenges are addressed by processing images collected from an array of cameras mounted in the wingtips, while the avoidance challenges are addressed with a series of path planning algorithms. For communication, a ground station was built and equipped with a data link for monitoring the aircraft’s systems. The individual components were tested sucessfully, but flight test of the integrated unit is still in progress. The challenge was cancelled, but Embry-Riddle’s entry remains a valuable asset for UAS integration technology. 
Original languageAmerican English
DOIs
StatePublished - Jan 5 2015
Externally publishedYes
EventAIAA Infotech @ Aerospace 2015 - Kissimmee, FL
Duration: Jan 5 2015 → …

Conference

ConferenceAIAA Infotech @ Aerospace 2015
Period1/5/15 → …

Keywords

  • Aircraft communication
  • Unmanned Aerial Vehicles
  • UAVs
  • Autonomous aircraft
  • Ground stations
  • Integration technologies
  • National air spaces
  • Path-planning algorithm
  • Traffic detection

Disciplines

  • Aeronautical Vehicles
  • Navigation, Guidance, Control and Dynamics
  • Systems Engineering and Multidisciplinary Design Optimization

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