Invited Talks

Chris Urmson

Biography: Chris Urmson leads the development of Google’s self-driving car technology and is an assistant research professor at Carnegie Mellon University (on leave). Chris was the Director of Technology for the team that won the 2007 DARPA Urban Challenge. He earned his PhD in 2005 from Carnegie Mellon and his B.Sc. in Computer Engineering from the University of Manitoba in 1998.

The Google Self-Driving Car Project

Self-driving vehicles hold the promise of transforming the automotive industry and reshaping our relationship with the automobile. The Google Self-Driving car project was created to rapidly advance autonomous driving technology. Building from the foundation of decades of research and the DARPA Challenges, we have developed a small fleet of autonomous self-driving vehicles.
In this talk, I will provide an introduction to the work Google has been doing in advancing the state-of-the art in autonomous vehicles. When driving the vehicles use a combination of prior map data and on-line sensing. Prior to driving the vehicles are used to build high- resolution models of the world. On line, the vehicles use these models to estimate their position and to help them track objects that move through the world (pedestrians, cyclists, cars, etc.). A motion planner then combines the a priori model of world with objects that are detected online to determine safe trajectories through the world.
In the course of the talk, I will demonstrate the capabilities (and limitations) of our vehicles, and talk briefly about the promise of self-driving vehicles.