AAE PhD student receives "Best Paper" award
The goal of this research is to develop a UAS (Unmanned Aircraft Systems) tracking algorithm. It would effectively account for the complex behavior of UAS and its trajectory restricted to be within geofences assigned by the UTM (UAS traffic management) system so that it can produce more accurate UAS tracks than existing tracking algorithms, and thus support the safe and efficient operation of a UTM system. To achieve this goal, a constrained stochastic hybrid systems approach is proposed, and the constrained Kalman filtering technique is used in hybrid state estimation framework.
“I am sincerely honored to receive the Best Student Paper Award,” Lee says. “It gave us a great opportunity to increase the exposure of our research and to receive invaluable feedback. It makes me feel like that I am on the right track toward my goal of being an independent researcher.”