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I'll tell you some knowledge shear about CLOUD Platforms Using Av
These things all about Self-Driving Cars ðŸš¨ðŸš¨

The automotive industry is going through a “tech-tonic” shift, especially with a big focus on developing autonomous driving (AD) in the cloud. Self-driving vehicles (AVs) process input (data) received from various sensors to make driving decisions. A typical autonomous vehicle (AV) generates over 40 terabytes of data per day. For autonomous driving (AD) development, that data is “gold”!

Data generated during AV testing must be stored and reused to train and refine AD software and various software components for artificial intelligence, machine learning, and deep learning.

Automobile cloud can be used for a variety of applications, including navigation, infotainment, predictive maintenance, and remote diagnostics.

The role of computing in the development of autonomous driving:

Cost savings 

Cloud and software in the automotive industry can help reduce costs. If your site has all the necessary IT hardware, you are responsible for maintaining it. You also have to accept the cost of labor and power consumption. In the cloud, on the other hand, the cloud service provider provides all the hardware. Providers are responsible for monitoring, maintaining, and updating hardware. Additionally, intelligent automotive cloud solutions include pay-as-you-go or subscription models. This means you pay only for the resources and storage you use and can scale up or down as needed.

Large Storage Space

The automotive industry contains an enormous amount of data, and if you have data, you need storage space to store it. Keeping data on-premises requires purchasing expensive storage devices. Nevertheless, smart automotive cloud computing offers nearly unlimited storage space to store vast amounts of data. You can also increase the storage capacity as needed.

Better Autonomous Driving

Self-driving cars require sensors, radar, and cameras to automatically control and steer the vehicle without a driver. Automotive cloud solutions support a constant flow of data from self-driving cars. It also provides uninterrupted network service. Cloud platforms can therefore improve the safety, efficiency, and security of self-driving cars.

Improve security and reduce risk

Data breaches are increasing day by day around the world and this is a major concern for businesses. When automakers have on-premises infrastructure, they have a responsibility to protect their valuable data from hackers and malicious actors.

BOOK (Recommend)
Creating Autonomous Vehicle Systems Second Edition - this book explains how its important.......

Best research paper:-  Implementing a Cloud Platform for Autonomous Driving

Cloud is Learning and updating high-definition maps, including traffic data, as well as algorithms for object detection, classification, and decision making

THIS IS Big view of cloud domain uses in Self-Driving cars

Cloud Using Companies

- GCP USE CRUISE: Link

- GCP USE RENAULT

- WAYMO USE GCP

- AWS USE ZOOX.......etc

IF YOU WANT TO WRITE A Google Professional Data Engineer certification exam

best resources LINK

Read & Watch Everything. This Enough for Exam💪💪💪💪💪💪💪💪


LAST WORDS:-
One thing to keep in the MIND Ai and self-driving Car technologies are very vast...! Don't compare yourself to others, You can keep learning..........

Competition And Innovation Are Always happening...!
so you should get really Comfortable with change...

So keep slowly Learning step by step and implement, be motivated and persistent



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I hope you really Learn something from This Blog

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I'M NATARAAJHU