Uber self-driving crash ‘mostly caused by human error’


A distracted safety operator in an Uber self-driving car was primarily to blame for a fatal crash in 2018, a US regulator has ruled.

“Had the vehicle operator been attentive, she would likely have had sufficient time to detect and react to the crossing pedestrian to avoid the crash or mitigate the impact,” the NTSB ruled.

Uber’s computers detected Ms Herzberg 5.6 seconds before impact, the NTSB said, but did not correctly identify her as a person.

NTSB diagram
The NTSB mapped the incident – yellow rings show metres ahead of the vehicle, orange lines centre of mapped travel and purple area the car’s path

The report said Ms Herzberg was acting unsafely in attempting to cross the road where she did – investigators said toxicology reports suggested she had taken drugs that may have impaired her judgement.

Nevertheless, the NTSB said Uber had an “inadequate safety culture, exhibited by a lack of risk assessment mechanisms, of oversight of vehicle operators, and of personnel with backgrounds in safety management”.

It acknowledged on Tuesday that the company had made significant changes since the accident.

Uber said it welcomed the recommendations.

“We deeply regret the March 2018 crash that resulted in the loss of Elaine Herzberg’s life, and we remain committed to improving the safety of our self-driving program,” said Nat Beuse, head of safety at Uber’s advanced technologies group.

“Over the last 20 months, we have provided the NTSB with complete access to information about our technology and the developments we have made since the crash. While we are proud of our progress, we will never lose sight of what brought us here or our responsibility to continue raising the bar on safety.”

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