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Dashcam footage released of Uber self-driving car fatally hitting pedestrian

Police have said the SUV is unlikely to be found at fault because it may not have had time to stop.

Source: KGUN9/YouTube

THE VIDEO OF deadly self-driving vehicle crash in suburban Phoenix shows a pedestrian walking from a darkened area onto a street just moments before an Uber SUV strikes her.

The lights on the SUV didn’t illuminate 49-year-old Elaine Herzberg on Sunday night until a second or two before impact, raising questions about whether the vehicle could have stopped in time.

The crash Sunday night in Tempe was the first death involving a full autonomous test vehicle. The Volvo was in self-driving mode with a human backup driver at the wheel when it struck Herzberg, police said.

The video shows the human backup driver in the SUV looking down until seconds before the crash. The driver looks up and appears startled during the last moment of the clip.

Tempe Police Chief Sylvia Moir has told the San Francisco Chronicle that the SUV likely wouldn’t be found at fault and that it may not have had time to stop.

But two experts who viewed the video told The Associated Press that the SUV’s laser and radar sensors should have spotted Herzberg and her bicycle in time to brake.

“The victim did not come out of nowhere. She’s moving on a dark road, but it’s an open road, so Lidar (laser) and radar should have detected and classified her” as a human, said Bryant Walker Smith, a University of South Carolina law professor who studies autonomous vehicles.

Smith said the video may not show the complete picture, but “this is strongly suggestive of multiple failures of Uber and its system, its automated system, and its safety driver.”

Sam Abuelsmaid, an analyst for Navigant Research who also follows autonomous vehicles, said laser and radar systems can see in the dark much better than humans or cameras and that Herzberg was well within the range.

“It absolutely should have been able to pick her up,” he said. “From what I see in the video it sure looks like the car is at fault, not the pedestrian.”

Source: CBS This Morning/YouTube

Smith said that from what he observed on the video, the Uber driver appears to be relying too much on the self-driving system by not looking up at the road.

“The safety driver is clearly relying on the fact that the car is driving itself. It’s the old adage that if everyone is responsible no one is responsible,” Smith said. “This is everything gone wrong that these systems, if responsibly implemented, are supposed to prevent.”

The experts were unsure if the test vehicle was equipped with a video monitor that the backup driver may have been viewing.

Response

Uber immediately suspended all road-testing of such autos in the Phoenix area, Pittsburgh, San Francisco and Toronto. The National Transportation Safety Board, which makes recommendations for preventing crashes, is investigating the crash.

An Uber spokeswoman did not answer specific questions about the video or the expert observations.

“The video is disturbing and heartbreaking to watch, and our thoughts continue to be with Elaine’s loved ones. Our cars remain grounded, and we’re assisting local, state and federal authorities in any way we can,” the company said in a statement.

Tempe police have identified the driver as 44-year-old Rafael Vasquez.

Uber tests self-driving vehicle A leet of Uber's self-driving vehicles. Source: Getty Images

The fatality has raised questions about whether Uber is doing enough to screen its drivers.

Uber said Vasquez met the company’s vetting requirements.

The company’s website lists its pre-screening policies for drivers that spell out what drivers can and cannot have on their record to work for Uber.

Their driving history can’t have any DUI or drug-related driving offenses within the past seven years, for instance. They also can’t have more than three non-fatal accidents or moving violations within the past three years.

Read: Uber self-driving car kills Arizona pedestrian >

Read: Taxi drivers block London Bridge for hours in protest over Uber >

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