Sensor firm Velodyne 'baffled' by Uber self-driving death

Sensor firm Velodyne 'baffled' by Uber self-driving death”

The 22-second video released by the Tempe, Arizona, Police Department shows a pedestrian walking from a darkened area onto a street just before an Uber SUV in self-driving mode strikes her.

THE UBER self-driving auto crash that resulted in the death of a mum-of-two could have been avoided, claim experts. The paper also said that Vasquez "identifies as Rafaela".

Sunday night's fatal accident in which an Uber SUV in autonomous driving mode struck and killed a pedestrian in Tempe, AZ should have been avoided by the car's sensor technology and the human safety driver behind the wheel, experts told our sister site CNET.

The Tempe police said that there were no signs of the vehicle slowing down before the crash, and that they were still investigating who was at fault.

Now autonomous driving experts are weighing in on the case, and they're convinced the auto could've done more to avoid the collision.

Video of the crash, showing the perspective of the driver and the pedestrian, was released by the Tempe police on Wednesday.

Cortica, a company that develops artificial intelligence for self-driving cars, analysed the shocking dash cam footage and provided its evaluation to CNET. Its system detected the victim 0.9 seconds before impact, when the auto was still about 50 feet away, CNET reported-enough time for the vehicle to react and save the victim's life, according to Cortica CEO Igal Raichelgauz.

"The advantage of machine response time and control, the right actions could be made to certainly mitigate the damage", Raichelgauz said.

Uber has 400 employees and more than 150 autonomous cars in the Phoenix area, according to the Times.

The firm that designed the sensors on the Uber self-driving auto that killed a woman this week has said its technology was not to blame. The system is created to provide a 360-degree virtual view of the environment surrounding the auto.

Herzberg becomes visible in the car's headlights as she pushes a bicycle across the road at least 2 seconds before the impact. Even if the camera did not see Herzberg in the dark, the radar and lidar should have, particularly since she and her bicycle were perpendicular to the road, presenting a larger cross-section to reflect these signals.

Other academics have also laid the blame on Uber's self-driving vehicle.

Daniel Sperling, director of the Institute for Transportation Studies at the University of California Davis, said: "It seems it should have detected her. We do want AVs to do better than us and the potential exists". "We are fully cooperating with local authorities in their investigation of this incident".

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"We're heartbroken by what happened this week, and our cars remain grounded", the Uber spokeswoman said.

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