Software behind self-driving Uber crashed a women didn’t recognize jaywalkers

NEW YORK: An Uber self-driving car that struck and killed a woman last year in Arizona failed to recognize her as a pedestrian because she was jaywalking, US transport regulators said Tuesday.

The woman had been crossing the street “at a location without a crosswalk; the system design did not include a consideration for jaywalking pedestrians,” the US National Transportation Safety Board (NTSB) said in a statement.

At an earlier report, the NTSB had already stated that the car’s software seen the 49-year-old woman almost six seconds before the car hit her, as she walked across the street at night with her bike , a suburb of Phoenix.

According to the latest report , NTSB stated that the accident’s cause, the system at no time “classified her as a pedestrian” but rather, considered her an object.

When the software figured it out that a collision was almost 1.2 seconds before impact, it restrained any”extreme braking or direct or negative actions” to decrease the potential for erratic vehicle behavior.

Following the March 2018 accident, Uber suspended its autonomous driving testing in all locations in the United States but resumed the program several months later.

The company has assured the NTSB that technologies from the cars will recognize pedestrians in similar situations and activate braking more than just four seconds prior to impact.

According to the report, 37 crashes involving Uber automatic test vehicles operating in autonomous mode occurred between September 2016 and March 2018, excluding the Arizona crash.

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