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The Different Types of AI Powering Autonomous Vehicles

Imagine a world where cars drive themselves, navigating city streets and highways with ease. This is the promise of autonomous vehicles.

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Introduction

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One of the most important tasks for an autonomous vehicle is to understand its surroundings. This is where computer vision comes in.

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Seeing the World Around Them

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Mounted cameras identify objects like pedestrians, vehicles, traffic signals. They can track the movement predict their future behavior.

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AI algorithms can analyze images

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Making Decisions on the Fly

Once the car has a sense of its surroundings, it needs to make decisions about how to navigate them. This is where machine learning comes in.

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Controlling the Vehicle

Finally, the car needs to be able to translate its decisions into actions. This is where control systems come in.

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Acceleration control

Ai can control the steering, braking, and acceleration of the vehicle to ensure that it follows its planned path smoothly and safely.

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what's powering these self-driving cars?

It's artificial intelligence (AI), and not just one type of AI, but a whole orchestra of different technologies working together.

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The Future of AI in Autonomous Vehicles

The field of AI is constantly evolving, and this is sure to have a major impact on the development of autonomous vehicles.

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The development

As AI technology continues to advance, we can expect to see even more safe, efficient, and accessible self-driving cars on the road in the years to come.

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Automated monitored

Human monitored

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In the future

we can expect to see even more sophisticated AI algorithms that can handle complex driving situations, explain their decisions to human passengers.

Dive Deeper

More detailed explanations of each AI type and its role in self-driving cars.

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Next: Google’s New Frontier: VideoPoet Transforms Video

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