New Self-Driving Shuttle in Las Vegas Crashes Just Hours After Launch

A driverless bus was involved in a crash hours after it was launched on Nov. 8 2017

A self-driving shuttle that launched on the Las Vegas strip Wednesday was involved in an accident less than two hours after its unveiling ceremony downtown.

None of the eight passengers aboard the driverless vehicle suffered injuries and neither did the truck driver.

The Navya Arma shuttle that was running in Vegas is equipped with specialized LiDAR sensors to map out the road around it, cameras to pick up obstacles in its path, and GPS so its operators can track it in real time, but none of those systems can control other drivers on the road. But, the truck continued backing up until its tires touched the front of the shuttle.

Speaking of which, the main thing we're wondering is why the damn thing didn't back up when it sensed the truck getting too close-and one passenger apparently had the same reaction.

The city added it will continue operating the buses through Las Vegas' downtown area over the next year.

AAA Northern California, Nevada & Utah (AAA) is sponsoring the nation's first self-driving shuttle pilot project geared specifically for the public.

While the optics of a self-driving shuttle getting into an accident nearly immediately after debuting aren't great, this particular situation was clearly caused by a human driver.

A driverless shuttle bus was in a auto accident the first day the electric vehicle was being tested in Las Vegas.

The shuttle can be boarded at any of the three stops located on Fremont and Carson Streets between Las Vegas Boulevard and 8th Street.

Navy ARMA's driverless bus will begin shuttling passengers along a half-mile route in downtown Las Vegas. The shuttle is operated and maintained by Keolis, which also led the efforts to integrate its vehicle into the smart-city infrastructure, in partnership with the city of Las Vegas and NAVYA. One such autonomous vehicle, a shuttle in Las Vegas, was recently involved in a wreck. Unfortunately, writing an algorithm that allows an autonomous vehicle to respond to the potentially erratic behavior of a human driver isn't easy.

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