Uploaded February 2020 | Updated September 2026, 2 weeks ago
RI Seminar: Chris Urmson
December 5, 2007
Carnegie Mellon University
Tartan Racing and the Darpa Urban Challenge
A bit of self-serving car research history.
Original Abstract:
The DARPA Urban Grand Challenge was a 60 mile race through an urban roadway where vehicles had to follow the same rules of the road that human drivers are expected to respect. This challenge differed from the 2 previous Grand Challenges in that the robots not only had to navigate the course, but they were required to drive safely in the presence of other human-driven cars as well as the other robot competitors. Robots were required to safely handle four-way intersections, parking lots, multiple-lane traffic, temporary road blockages (such as stopped cars), and merging into and out of moving traffic. Thirty-five teams attended the national qualifying event. Only eleven teams made it to the final race, and of those, only six succeeded in crossing the finish line.
This talk will describe the details of the DARPA Urban Challenge and describe Carnegie Mellon's entry Boss, the autonomous vehicle which won the challenge. The talk will illustrate the overall system architecture and highlight the many component technologies that made up Boss. I will describe the team's approach to development and testing over the course of the year and a half preparation leading up to the race. The talk will concluded with some preliminary lessons learned and an idea of where this research will go from here.
2007 Bio:
Chris is the Director of Technology for Tartan Racing. Previously, Chris was a robotics research scientist with SAIC and an adjunct faculty member of the Robotics Institute at CMU. He earned his PhD in 2005 from CMU and his B.Sc. in Computer Engineering from the University of Manitoba in 1998. Chris has earned a variety of corporate and academic awards including being named a Siebel Scholar, and receiving technology innovation awards from Boeing Phantom Works and SAIC.
RI Seminar: Chris Urmson
December 5, 2007
Carnegie Mellon University
Tartan Racing and the Darpa Urban Challenge
A bit of self-serving car research history.
Original Abstract:
The DARPA Urban Grand Challenge was a 60 mile race through an urban roadway where vehicles had to follow the same rules of the road that human drivers are expected to respect. This challenge differed from the 2 previous Grand Challenges in that the robots not only had to navigate the course, but they were required to drive safely in the presence of other human-driven cars as well as the other robot competitors. Robots were required to safely handle four-way intersections, parking lots, multiple-lane traffic, temporary road blockages (such as stopped cars), and merging into and out of moving traffic. Thirty-five teams attended the national qualifying event. Only eleven teams made it to the final race, and of those, only six succeeded in crossing the finish line.
This talk will describe the details of the DARPA Urban Challenge and describe Carnegie Mellon's entry Boss, the autonomous vehicle which won the challenge. The talk will illustrate the overall system architecture and highlight the many component technologies that made up Boss. I will describe the team's approach to development and testing over the course of the year and a half preparation leading up to the race. The talk will concluded with some preliminary lessons learned and an idea of where this research will go from here.
2007 Bio:
Chris is the Director of Technology for Tartan Racing. Previously, Chris was a robotics research scientist with SAIC and an adjunct faculty member of the Robotics Institute at CMU. He earned his PhD in 2005 from CMU and his B.Sc. in Computer Engineering from the University of Manitoba in 1998. Chris has earned a variety of corporate and academic awards including being named a Siebel Scholar, and receiving technology innovation awards from Boeing Phantom Works and SAIC.
![AI Ethics Engagement Series 2021 - Where Does Our Mental Health Fit in A Digital Future
AI Ethics Engagement Series 2021 - Where Does Our Mental Health Fit in A Digital Future [In Collaboration with CompFest 2021]
The K&L Gates Endowment for Ethics and Computational Technologies at Carnegie Mellon University will hold a series of events engaging the public online via talks and discussions around the issue of AI ethics all the way through December 2021. We will talk about different viewpoints of ethics in AI through different exciting means, designed to be approachable and for the general audience inside the Pittsburgh community and outside.
This lecture discussed the good and bad effects of online platforms like social media and other forms of computer-mediated communications on our mental health and interpersonal relationship. The discussion will reflect findings from Professor Robert E. Krauts 25 years of research in this field and historical progresses in technology-mediated communication
This talk is presented in partnership with CompFest. CompFest is the biggest student-led computing and information technology conference in Indonesia, comprised of seminars, competitions, boot camps and job fairs held annually. The conference is proudly hosted by students of the Faculty of Computer Science, Universitas Indonesia, and this years event is the 13th iteration of CompFest.
The event was held on November 6th, 2021 via Zoom
Check out our other engagements on https://www.cmu.edu/ethics-ai/engagement-series/index.html AI Ethics Engagement Series 2021 - Where Does Our Mental Health Fit in A Digital Future](https://i.ytimg.com/vi/Qi4eeJNLGDw/mqdefault.jpg)









