This project focuses on using real-time vision algorithms such as rank transform and Sum of Absolute Differences (SAD) for real-time user selected target tracking.  Vision algorithms are implemented on the embedded vision sensor to provide real-time feedback to the control system.  An ongoing project is to use feature detection and feature tracking algorithms implemented on the embedded vision sensor to control our four-rotor helicopter to track moving objects on the ground.

 Project Sponsors:

 Collaborators:

 Graduate Students:

 Jonathan Anderson, Spencer Fowers, Kirt Lillywhite, and Beau Tippetts

1. J.D. Anderson, D.J. Lee, R.B Schoenberger, and B.J. Tippetts, “Using Real-time Vision to Control a Convoy of Semi-Autonomous Unmanned Vehicle”, AUVSI’s Unmanned Systems North America, online proceedings, Orlando, Florida, August 29-31, 2006.

2. J.D. Anderson, D.J. Lee, Z. Wei, and J.K. Archibald, “Semi-Autonomous Unmanned Ground Vehicle Control System”, SPIE International Symposium on Defense and Security, Unmanned Systems Technology VIII, vol. 6230-66, 62301M, Orlando, Florida, USA, April 17-21, 2006.