Ben earned a B.S. from Texas Christian University in 2003. He then began his graduate work within the ICSL here at Georgia Tech. He earned a M.S. degree in 2004, and is now pursuing a Ph.D. His research is focused on the development of an automatic visual tracking system for use on an unmanned aerial vehicle. The system is centered on an adaptive particle filter visual tracker that is able to estimate the position of mobile ground vehicles. The system has been tested in both simulation and in flight. |
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Related Publications Ludington, B., Johnson, E., and Vachtsevanos, G., “Augmenting UAV Autonomy: Vision-Based Navigation and Target Tracking for Unmanned Aerial Vehicles,” IEEE Robotics and Automation Magazine, vol. 13, issue. 3, 2006, pp 63-71. Ludington, B., Reimann, J., Barlas, I., and Vachtsevanos, G., “Target Tracking with Unmanned Aerial Vehicles: From Single to Swarm Vehicle Autonomy and Intelligence,” in Proceedings of the 14th Mediterranean Conference on Control and Automation, Ancona, Italy, 2006. Vachtsevanos, G., Ludington, B., Reimann, J., Antsaklis, P. and Valavanis, K., “Modeling and Control of Unmanned Aerial Vehicles – Current Status and Future Directions,” in Proceedings of the Workshop on Modeling and Control of Complex Systems, Los, Cyprus, 2005. Ludington, B. Particle Filter Tracking Architecture For Use Onboard Unmanned Aerial Vehicles, PhD Proposal, Georgia Institute of Technology, Atlanta, GA, approved November 2005. Hegazy, T., Ludington, B., and Vachtsevanos, G., “Reconnaissance and Surveillance in Urban Terrain with Unmanned Aerial Vehicles,” in Proceedings of the 16th IFAC World Congress, Prague, Czech Republic, 2005. Ludington, B., Tang, L., and Vachtsevanos, G., “Reconnaissance and Surveillance in Urban Terrain with Unmanned Aerial Vehicles,” in Proceedings of the IEEE Aerospace Conference, Big Sky, MT, USA, 2005. |