Sign In

Communications of the ACM

ACM TechNews

Here's Why Self-Driving Cars May Never Really Be Self-Driving


Sitting at the wheel as the car drives itself.

Carnegie Mellon University researchers are exploring some of the unpredictable issues with autonomous car technology.

Credit: YouTube

Researchers at Carnegie Mellon University (CMU) are exploring myriad unpredictable issues with autonomous car technology that might be solved with embedded software to avoid accidents.

Their proof-of-concept KeYmarea X software seeks to determine how self-driving cars should reason through all possible accident scenarios, and determine when to switch control over to human drivers.

Regulations governing self-driving vehicle liability currently are lacking, so insurance firms will likely litigate against the automaker for accident claims and not the driver.

"Whenever a car gets into a challenging intersection, the computer should shut down, admitting it cannot handle it and allowing the human driver to take over for now--that's completely acceptable," says CMU professor Andre Platzer. "But if a computer doesn't recognize the situation is outside the bounds of what it was designed for, then it's a situation where the human will always have to be in charge."

From Computerworld
View Full Article

 

Abstracts Copyright © 2017 Information Inc., Bethesda, Maryland, USA


 

No entries found

Read CACM in a free mobile app!
Access the latest issue, plus archived issues and more
ACM Logo
  • ACM CACM apps available for iPad, iPhone and iPod Touch, and Android platforms
  • ACM Digital Library apps available for iOS, Android, and Windows devices
  • Download an app and sign in to it with your ACM Web Account
Find the app for your mobile device
ACM DL Logo