How Autonomous vehicles work - do you know?

Knowledge base

Autonomous vehicles, often called self-driving cars, are designed to navigate and operate without human intervention by mimicking the functions of a human driver. Here's how they achieve this remarkable feat:

Sensors as Eyes:

Just like human eyes, sensors are crucial for autonomous vehicles. They use a combination of cameras, radar, lidar (light detection and ranging), and ultrasonic sensors to gather detailed information about their surroundings. These sensors help the vehicle detect other cars, pedestrians, road signs, and lane markings, allowing it to navigate safely.

Computer as Brain:

The core of an autonomous vehicle is its computer system, often referred to as the "brain." This system processes all the data collected by the sensors to make real-time decisions. It uses sophisticated algorithms and machine learning to interpret the environment, predict the actions of other road users, and make complex navigation decisions, such as when to slow down, speed up, or make turns.

Electronic Actuators as Hands and Feet:

In place of a human driver's hands and feet, which control the steering wheel and pedals, autonomous vehicles use electronic actuators. These actuators control the vehicle's steering, braking, and throttle, executing the decisions made by the computer. This system ensures that the vehicle can act on the choices it makes to maneuver safely.

The integration of these technologies enables autonomous

vehicles to operate safely and efficiently in a variety of settings. They continuously analyze massive amounts of data, respond to changes in their environment, and learn from new situations, which improves their decision-making over time. This technology holds the promise of reducing accidents caused by human error, improving traffic flow, and enhancing mobility for those unable to drive.