Self driving cars
image: University of Michigan
The recent self-driving technology mostly depends on cameras, radar and lidar. These sensory tools act like eyes for the car, imitating like a human driver. However a University of Michigan public-private corporation known as Mcity is verifying V2V, or vehicle to vehicle contact and has discovered that it creates their independent model even more protected.

V2V operates wirelessly distributing information such as area, speed and direction. By using DSRC, or Dedicated Short Range Communication, V2V can drop up to 10 messages per second. This contact helps vehicles to look above what is instantly in front of them- feels a red light all over a dark turn, or  automatically stopping for a car that runs a stop indication.

In order to test their cars installed with V2V,  Mcity is also utilizing a latest improved reality technique. They have made virtual vehicles set up with the system that can contact with their real prototypes. This helps them to test events that are cost-restrictive or too deadly for actual world tests.

The trick of V2V ? It has to be set up in most of the cars and framework (such as traffic lights) to perform sufficiently . Despite whatever that brings us nearby to secure, trustworthy independent cars is a win, so it will be entertaining to look how this tech expands.



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