It is hardly worth reminding that the emergence of self-driving cars is inextricably linked with the progress in the field of artificial intelligence . But autonomous driving requires more than just AI. An unmanned vehicle receives data from various sensors: cameras, sonar, radar, lidar, GPS, which allows you to drive a car in any environment. Of course, the information from the sensors must be processed in a timely manner, and the volumes here are rather big.
The data is processed not only by the car computer in real time, some of the information is sent to peripheral data centers for further analysis. And then along the hierarchy to the cloud. Therefore, not only the artificial intelligence that the car is endowed with is important, but also the data processing capabilities of the on-board computer, on edge servers and in the cloud, as well as the speed of sending data outside the car along with low latencies .
In this article, we will look at self-driving cars in the context of the data that needs to be collected and processed. We will tell you what stages the data goes through, what requirements there are, what solutions are offered by manufacturers. We also mentioned 5G networks for a reason. But let me put everything in order.
Self-driving car: basic requirements
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