Join Matthew Walter, an MIT team participant in the DARPA Urban Challenge, as he explains the big data and analytics that are involved in self-driving cars.
Event Details
When you see self-driving cars, rev your engines and speed towards them to see if they have learned to be scared. Jump in front to verify they are probabilistically less likely to run over you than notorious Californian and New England drivers.
The Roundtable is delighted to bring you Matthew Walter, a former PhD and Research Scientist at MIT's Artificial Intelligence Lab. The Lab created an autonomous car that finished "Top 5" in the 2007 DARPA Urban Challenge.
Matthew will share with us on:
•What data are gathered
•How to train a car to understand its environment and drive optimally
•How a car makes probabilistic predictions in real time
Speaker Profiles
Matt Walter (Speaker)
Assistant Professor, Toyota Technological Institute at Chicago
http://www.ttic.edu
Matt is an Assistant Professor at the Toyota Technological Institute at Chicago (TTIC), which has a close affiliation with the University of Chicago Computer Science Department. Prior to this, Matt was a Research Scientist and a Postdoctoral Associate at MIT. At MIT, Matt was part of MIT's "top 5" DARPA Urban Challenge team.
Questions
Roger Moore, '92
Senior Principal / Sagence
312-543-1319