Racing From Student To Autonomous Vehicle Engineer
Santa Clara Convention Center, CA, USA
Great America K
16:40 - 17:00
Seventeen international Udacity students attempted to apply deep learning
algorithms at the 2017 Self Racing Cars event held at Thunderhill Raceway,
California. The team received a car two days prior to the event for integration. They
discuss the events prior to the race, deep learning methods used, and current work.
Dean is currently transitioning into the Self-Driving Car, robotics and drones/UAS domain after 20+ years in Aerospace R&D. He received his B.S. in Mechanical Engineering from Rutgers University, and M.S. in Aerospace Engineering from Virginia Tech. He started his career supporting US Naval flight research on aircraft handling quality, flight controls, modeling & simulation, and flight tests on various aircraft platforms at NAS Patuxent River, MD. He later supported NASA on Advanced ATC research, helped to architect and create NASA Langley's AirTraffic Operations Lab (ATOL) and its distributed flight simulations, for studying feasibility of Distributed-Air/Ground Traffic Management concepts. He then moved out west to CA to support NASA Ames's SimLabs and its Vertical Motion Simulator (VMS), the world's largest motion simulator for human factor and motion cueing R&D. He left NASA in 2016 to pursue continuing learning via a Machine Learning / Data Science bootcamp at Galvanize, and is currently in Udacity's Self-Driving Car Nanodegree program, where he participated in the recent Self-Racing Cars event.
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