"Designing an Autonomous Vehicle to Compete in DARPA's Urban Challenge" Yiannis E. Papelis, PhD Research Associate Professor ODU - Virginia Modeling Analysis & Simulation Center Prior DARPA-sponsored autonomous vehicle competitions focused on off-road navigation and obstacle avoidance. For 2007, DARPA sponsored the Urban Challenge, a competition within which autonomous vehicles must navigate roadways and interact with other manned and unmanned vehicles and obey traffic laws, all while pursuing missions that involve reaching a series of specific checkpoints in a finite amount of time. This talk will outline the efforts of a team that designed a vehicle that entered the competition and was one of the 11 teams that reached the final stage. Issues covered will include the overall design approach, primary and secondary sensor selection, AI strategy and implementation, control strategies, navigation approach and finally, practical lessons learned both during the preparation phase as well as the final week of the competition. Yiannis Papelis earned a BSEE (with honors) from Southern Illinois University in 1988, a MSEE from Purdue University in 1989 and a Ph.D. degree in Electrical & Computer Engineering from the University of Iowa in 1993. He has been involved in research on immersive virtual environments used primarily in ground vehicle simulations. While at the University of Iowa, he conducted research in autonomous agents with applications in microscopic traffic simulation, rapid development of virtual environments used in ground vehicle simulation, design of deterministic scenarios within stochastic simulations and effects of in-vehicle devices in transportation safety. Dr. Papelis spent one year as a visiting faculty at the University of Central Florida where, among other things, he applied earlier research in driver modeling to an autonomous vehicle that competed in the DARPA Urban Challenge competition. Dr. Papelis is currently conducting research on autonomous agent modeling issues as applied to a wide range of topics, including simulation of critical infrastructure components, realistic simulation of crowds and control of autonomous ground and aerial vehicles.