Computer Vision and Target Localization Algorithms for Autonomous Unmanned Aerial Vehicles

Open Access
Ross, James Alton
Graduate Program:
Aerospace Engineering
Master of Science
Document Type:
Master Thesis
Date of Defense:
Committee Members:
  • Lyle Norman Long, Thesis Advisor
  • Joseph Francis Horn, Thesis Advisor
  • autonomous
  • georeferencing
  • target localization
  • computer vision
  • unmanned aerial vehicle
  • UAV
The Unmanned Aerial Vehicle (UAV) field is currently experiencing exponential growth in both military and civilian applications. An increase in the number of UAVs operating at once using more complex behavior has shown shortfalls that will require more automation in the future. This thesis discusses autonomous computer vision identification and target localization of ground targets from a UAV. The research is being pursued at the Pennsylvania State University and Applied Research Lab (ARL). Flight test results of the algorithms developed will also be presented.