Autonomous vehicles, also known as self-driving cars, are vehicles that can navigate and operate without human input. They use various sensors, cameras, and algorithms to perceive their environment, make decisions, and control their movement. In this lesson, you will learn about the key features and components of autonomous vehicles.
Autonomous vehicles rely on various sensors and cameras to perceive their environment and make decisions. Let's explore some common sensors and cameras used in self-driving cars:
These sensors and cameras work together to provide the autonomous vehicle with a comprehensive understanding of its surroundings, enabling it to make informed decisions and drive safely.
Autonomous vehicles rely on advanced algorithms and machine learning to process the data collected by their sensors and cameras. These algorithms help the car make decisions about its movement, such as when to accelerate, brake, or change lanes. Some self-driving cars also use machine learning to improve their decision-making and adapt to new situations over time.
Once an autonomous vehicle has processed its environment and made a decision, it must control its movement. This is done through various control systems, such as the throttle, brakes, and steering. These systems are controlled by the car's onboard computer, which sends commands to actuators that control the vehicle's movement.
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