Tesla makes cars think like people

Tesla makes cars think like people

August 26, 2019 0 By autotimesnews

Green cars from an American company should monitor the situation and react to everything just like drivers do.

For effective autonomous operation of transport, it is necessary to create an algorithm, a technology that will have human cognitive abilities. In the human nervous system there is a neuron that forms a network in the central nervous system of the body with the same neurons. Therefore, for the autonomous work of artificial intelligence, manufacturers will have to create an artificial neural network, the so-called ANN, capable of performing the same functions as the neural network of the human body.

Experts believe that this is achievable. But for normal functioning, artificial intelligence needs another function – the ability to see, and at the moment there is a certain nuance. It was believed that lidar was needed for detection, which is found in many surveillance cameras, radars and sound sensors. Lidar is similar to a high-definition sensor, it uses laser light for better image quality.

Lidar sensors a couple of years ago had a huge cost – 60 thousand pounds. More budget versions of the sensors are required to reduce their price to 4 thousand pounds, but this is still considered a huge amount. However, scientists and specialists from Tesla believe that you can do without lidar.

If you conduct video surveillance from about a bird’s eye view, you can achieve very good positioning accuracy like a lidar one, while using cameras for just a few pounds, which are located on both sides of the windshield.

In addition, Tesla is actively trying to improve the artificial intelligence of its cars, each time making it smarter. Elon Musk believes that already this year all the necessary software functions for independent driving should be installed on cars. It is expected that artificial intelligence of cars will be able to perform up to 50 trillion actions per second, which is 5 times more than the functionality of the brain.