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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
  • Embry-Riddle Aeronautical University
  • Embry-Riddle Aeronautical University, Daytona Beach

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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