Autonomous Vehicles Close to Reality

Self-driving Vehicles could be on public roads as early as 2013, says a research scientist at Carnegie Mellon University's Robotics Institute. In five to seven years, expect to see autonomous vehicles capable of navigating freeways, says Chris Urmson, member of a joint Carnegie Mellon-General Motors Corp. team that won the $2 million first-place prize in a prestigious 2007 autonomous-vehicle competition

Self-driving “Autonomous” Vehicles could be on public roads as early as 2013, says a research scientist at Carnegie Mellon University's Robotics Institute.

In five to seven years, expect to see autonomous vehicles capable of navigating freeways, says Chris Urmson, member of a joint Carnegie Mellon-General Motors Corp. team that won the $2 million first-place prize in a prestigious 2007 autonomous-vehicle competition sponsored by a research-and-development arm of the U.S. Department of Defense.

Vehicles capable of navigating urban grids are 10 to 20 years away from reality, Urmson says during a panel discussion at the recent Convergence conference.

Sensor sophistication, validation capability and assuring performance in adverse environmental conditions are key stumbling blocks, but Urmson says these are not insurmountable.

“Technology is making great steps,” he adds, admitting the notion of driverless vehicles sounds as fantastic as “The Jetsons” cartoon series.

Urmson's remarks are greeted with little skepticism by fellow panelists, though Continental AG executive Peter Reith warns the technology likely will launch in phases. Expect the first autonomous vehicles to be restricted to “special lanes,” says Reith, management board member-chassis division and safety.

Autonomous vehicles represent a new chapter in automotive history, and “we are standing at the beginning,” he says.

Adaptive cruise-control technology manages a vehicle's longitudinal movement, Reith says, while lane-departure warning systems portend efficient and safe lateral movement. The next hurdle is enabling the vehicle to handle unexpected situations.

“Are vehicles able to tell the difference between a fencepost and a person?” Urmson asks.

Session moderator Larry Burns, GM vice president-research and development and strategic planning, suggests the engineering challenges are less onerous than the legal ones.

“Technologically, (an autonomous vehicle) is possible,” Burns tells Ward's. “But we have a lot of concerns about privacy and liability.”

The former is an issue because the navigation component of autonomous-vehicle operation requires satellite tracking. And liability presents a potential nightmare if an autonomous vehicle is involved in an accident. “Everybody will say the driver is in control,” Reith says.

Burns also notes the autonomous vehicle debate is a global one. “So we shouldn't think that a solution flows right through the U.S.,” he says.

Paul Brubaker, U.S. Dept. of Transportation administrator-research and innovative technology, reminds there will be regulatory implications, although he declines to predict what federal mandates might be considered.

But he says 90% of vehicles today must be replaced by 2030 if connectivity is to fulfill its potential.

Anup Sable, vice president-automotive, KPIT Cummins Infosystems Ltd., warns of traffic congestion as autonomous vehicles compete for real-time traffic data, not unlike the way servers are swamped when accessed by too many computers.

Sable elicits the biggest laugh of the session when he reminds that certain segments of society already have solved all the headaches associated with developing autonomous vehicles.

“That solution is called — having a driver,” he says.

Please login or register to post comments

Related Resources

Navigation-system maker TomTom is offering downloads of celebrity voices (including some of these) to guide you on your route. Who would you like to have tell you where to go?

Data Center

There are a number of ways to find data on WardsAuto:

BROWSE : Explore the breadth of WardsAuto data by geography and data type.
SEARCH: Use keywords and filters to search all data.
Reference: View reference and non-time-series data.
Public Data: A collection of data tables available to non-subscribers.

A subscription is required to see locked content.
We also welcome requests for customized data.

Go to Data Center