Communications of the ACM
Here's Why Self-Driving Cars May Never Really Be Self-Driving
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
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