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Cloud-Inspired Autonomous Vehicles May Revolutionize Traffic

driverless

Autonomous Vehicles May Revolutionize Traffic

News coming from the Silicon Valley is not about things tech or computers this time round. Rather, it is how robotics technology is making advances in the world of vehicles by introducing the initial autonomous models. These automated autos from Google, the largest search engine company in the world, will need no human operator at all. In fact, the earliest releases have already undergone a cumulative experimental mileage of three hundred thousand miles. Only one State in the United States has licensed the makers to introduce the autonomous models into traffic situations, while another jurisdiction has allowed them to operate within experimentation scope.

The efficacy of autonomous cars has become possible courtesy of cloud computing. For an automotive to drive on its own, it requires a horde of guiding data that must be stowed away in a server somewhere. The technology, too, must have some human overseers who get to know whether every command for the vehicle is going according to the plan. For instance, the latest brands are receiving ample tracking through video technology. This helps to ensure that they do not go off track and do return to their station at the set time.

No crashes

This cloud technology in the auto industry may revolutionize the sector, if what analysts call half-a-decade before the masses get their first autonomous brands, comes to be. This will mean that there will be fewer costs for employing a chauffeur and more efficiency at arriving to work. There will, too, be greater productivity for the hands-free car owner who can transact business when in transit.

One of the most inspiring facts about the autonomous vehicles is that they will have little incidences of crashes. So far, Google has reported that none has taken part in a collision.

There are even traffic identification marks that will help tell the rest of the driving community that there is an autonomous automobile on the road. There will be a scarlet light on an experimental model in a traffic situation, while, when the masses begin to use them for transportation, theirs will bear a lime-green sign.

One of the major contributions of cloud in this development is that the data fed to the vehicle will remain the guiding factor, throughout. It will not need remote instructions to change its course: before departure, the machine will already have set its destination. It will also help to curb the occurrence of a traffic snarl-up because it will always stay tight on the right lane and won’t give in to the human impulse of overlapping. It also goes without saying that the vehicle will take artistic license to seek what its system might consider the easiest way to follow to a destination.

It is all systems go as the initial independent machines roll their wheels on the roads of the United States. It might be interesting to have one in 5 years as analysts are predicting for the population.

By John Omwamba

About John

John posses over five years experience in professional writing; with special interests in business, technology and general media. Driven by passion and 'glowing' enthusiasm, he has covered topics cutting across diverse industries with key target audiences including corporates, marketing executives, researchers and global business leaders. John currently freelances for CloudTweaks as a frequent writer.

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