Racing From Student To Autonomous Vehicle Engineer
Santa Clara Convention Center, CA, USA
Great America K
12:00 - 12:20
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.
Speaker Biography (Anthony Navarro)
Anthony currently works as a Product Manager for Udacity leading their Self-Driving Car and Robotics Nanodegree programs in Mountain View, California. After combat service in the US Army, he obtained his Master's in Computer Engineering from Colorado State University where he focused his studies on the area of robotics. Prior to his employment at Udacity, Anthony worked as a systems and software engineer for Lockheed Martin for 7 years where he supported multiple satellite launches and operations and also conducted applied research and development on autonomous systems. While at Lockheed Martin, he was selected to participate in the Advanced Technical Leadership Program offered by the company. Prior to joining Udacity, he also led the Udacity/ PolySync self-driving car race and was a student in the first cohort of the Udacity Self-Driving Car Nanodegree program.
Company Profile (Udacity)
Udacity is building an online university, "by Silicon Valley", that teaches the skills that industry employers need today, delivers credentials endorsed by employers, and educates at a fraction of the cost of traditional schools.
Our mission is to bring accessible, affordable, engaging, and highly effective higher education to the world. We believe that higher education is a basic human right, and we seek to empower our students to advance their education and careers.
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