Welcome to the Machine Learning and Self-Driving Vehicles Series!February 15, 2017
We’ve partnered with self-driving technology research firm OTTO and industrial giant Bosch to host meetups with researchers, corporate leaders and other industry players to discuss the intersection of machine learning and self-driving vehicles.
Self-driving technology grew from fantastical ideas to practical applications over the course of the last century. In 1918, a science fiction magazine first illustrated a type of self-driving vehicle; today, you can drive down the road in Palo Alto, only to realize the car next to you has no one in the driver’s seat. At our February 6 event on machine learning and self-driving vehicles, Dr. Jan Becker of Faraday Future described these developments in self-driving car technology – from fiction to research and from industrial development to productization.
Today, we see varying levels of autonomy ranging from parking assistance to vehicles requiring no human input at all. After Dr. Becker’s overview, Anca Dragan of UC Berkeley’s InterAct Lab detailed how these self-driving cars operate and how humans can teach and train these vehicles. To summarize, researchers are using machine learning to make autonomous vehicles more fluid and natural. And after hearing the tale of self-driving technology, the message is clear: Machine learning is one of the main catalysts toward fully-automated self-driving cars.
The first meetup was held on February 6, 2017 at Mercedes-Benz Research & Development North America HQ in Sunnyvale, California. Attendees listened to lectures featuring Faraday Future’s Jan Becker and UC Berkeley’s Anca Dragan, and also had the chance to interact with self-driving car prototypes from Mercedes-Benz, Otto and Bosch.