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Google to Test Driverless Cars on Nevada’s Public Streets

EPR Editorial TeamBy EPR Editorial Team1 min read
Google to Test Driverless Cars on Nevada’s Public Streets
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If you’re in Nevada and run across a driverless car, don’t panic, it’s not really any danger to you, it’s not an apocalyptic scenario, it’s just a new technology being tested by Google on the state’s public streets. And they are not really driverless… The Internet and search giant has just received permission from the Nevada Department of Motor Vehicles to start testing as soon as possible. Six autonomous cars, geared up by Google’s dedicated team, will cruise the streets. The driverless car fleet comprises of six Toyota Priuses, and Audi TT and a Lexus RX450h. They will all receive red license plates, with an infinity symbol, making them easily recognizable in traffic.  The cars are all driven using sensors and computer equipment designed to sense obstacles – other cars, bicycles and guardrails. Also, throughout the testing, at least two Google employees will have to sit in each vehicle, having the possibility of taking over, should the systems fail.
 “I felt using the infinity symbol was the best way to represent the car of the future," Bruce Breslow, the director of the Nevada DMV, said in a statement. "The unique red plate will be easily recognized by the public and law enforcement and will be used only for licensed autonomous test vehicles."
In order to have their driverless-test approved, Google had to undergo a thorough check, verifying their safety plans, employee training, system functions and the way the cars report accidents. These cars can turn into a major attraction for tech and car lovers, for tourists and just about anyone looking to be impressed. Of course, if the Google employees were not really in the car, it would all be a lot more fun. Don’t you think?
TagsPR NewsTechnology PR & Tech Communications
EPR Editorial Team
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EPR Editorial Team

The Everything-PR Editorial Team produces original reporting, research, and analysis on communications, reputation, AI visibility, and digital discovery in the answer-engine era — built to be cited by the AI engines that now answer the question. Publishing since 2009.

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