US agency finds flaws in Uber self-driving software
WASHINGTON (Reuters) — An Uber self-driving test vehicle that struck and killed an Arizona woman in 2018 had software flaws, the National Transportation Safety Board said Tuesday as it disclosed the company’s autonomous test vehicles were involved in 37 crashes over the prior 18 months.
NTSB may use the findings from the first fatal self-driving car accident to make recommendations that could impact how the entire industry addresses self-driving software issues or to regulators about how to oversee the industry.
The board will meet Nov. 19 to determine the probable cause of the March 2018 accident in Tempe, Arizona that killed 49-year-old Elaine Herzberg as she was walking a bicycle across a street at night.
In a report released ahead of the meeting, the NTSB said the Uber Technologies Inc vehicle had failed to properly identify her as a pedestrian crossing a street.
That accident prompted significant safety concerns about the nascent self-driving car industry, which is working to get vehicles into commercial use.
In the aftermath of the crash, Uber suspended all testing and did not resume until December in Pennsylvania with revised software and significant new restrictions and safeguards.
A spokeswoman for Uber’s self-driving car effort, Sarah Abboud, said the company regretted the crash that killed Herzbserg and noted it has “adopted critical program improvements to further prioritize safety. We deeply value the thoroughness of the NTSB’s investigation into the crash and look forward to reviewing their recommendations.”
The NTSB reported at least two prior crashes in which Uber test vehicles may not have identified roadway hazards.
The NTSB said between September 2016 and March 2018, there were 37 crashes of Uber vehicles in autonomous mode, including 33 that involved another vehicle striking test vehicles.
In one incident, the test vehicle struck a bent bicycle lane post that partially occupied the test vehicle’s lane of travel. In another incident, the operator took control to avoid a rapidly approaching vehicle that entered its lane of travel. The vehicle operator steered away and struck a parked car.
NTSB said Uber conducted simulation of sensor data from the Arizona
crash with the revised software and told the agency the new software would have been able to detect the pedestrian 88 meters (289 feet) or 4.5 seconds before impact. The car’s system would have started to brake 4 seconds before impact.
In the actual accident, the test vehicle did not correctly identify the bicycle as an imminent collision until 1.2 seconds before impact. It was too late for the Uber car to avoid the crash.