This is how Tesla’s self-driving works in foggy, low-visibility conditions

Tesla is still firmly on its way to getting that as soon as possible They yearn for Level 5 self-driving in their cars To achieve Elon Musk’s goal of being the first company to offer it to all of its customers. Not only as another service, but above all as a gateway to a world of services where they will become true pioneers.

We are referring to the dream of owning Cars that come and go alone on the streets looking for their owners, or customers to be picked up as if they were smart taxis. A business that would be extraordinarily profitable and that would allow car owners to earn extra money while they rest peacefully at home.

We have reached version 9

Thus, Tesla has just published and distributed version 9 of its release to some users Fully Auto Engine (FSD) that will be responsible for achieving those magical results of making the car autonomous. Software that usually comes with a dropper And that in this case it contains more than just interesting news.

For example, the arrival of something that Tesla called Pure Vision what or what Beyond what has been seen so far In this FSD technology, so much so that the car is capable Watch What is happening on a poorly visible foggy road, analyze everything in front of you with amazing accuracy. Not only can we check holding areas, but you can see a car coming in the opposite direction without problems, as you can see in the video posted next to the tweet above.

Pure Vision is a system that goes beyond what Tesla has traditionally used for cameras as well as radar and It uses many other sensors to create a real image How is the way we are going. In this version of the software, the car decides at what point in the rally it should turn on its high or low beams depending on road conditions.

This FSD, as we say, Keep taking small steps towards a fully functional version And a safe level 5, the ultimate goal set by Elon Musk in that career that began two years ago when he came in 2019 to set dates for its widespread implementation. So far, these expectations have not come true, but it seems that they are closer than we imagine.