Autonomous Vehicle Technology

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14 Mar
Artificial Intelligence, Vehicle Technologies GBB Informatıcs

Autonomous Vehicle Technology

Autonomous vehicle technology is a field that allows vehicles to move independently using a combination of driver assistance systems and artificial intelligence. It is also known as a robot car or driverless car. Autonomous vehicles can operate without human intervention thanks to their ability to perceive their environment, make decisions and move. This technology usually includes the following components:

Sensors: Autonomous vehicles perceive their environment using a variety of sensors such as radar, lidar, cameras and ultrasonic sensors. These sensors help vehicles understand objects, obstacles and road conditions around them.

Artificial Intelligence and Machine Learning: Autonomous vehicles use algorithms that can learn and improve by processing the data they collect. This allows vehicles to gain experience so they can make better decisions.

Mapping and Location Determination: The location of the vehicle is determined using GPS and other technologies. In addition, high-detail maps can be used to obtain information about road conditions.

Decision-Making Systems: Autonomous vehicles use algorithms to make decisions about when to accelerate, slow down, or maneuver.

Communication: Vehicles can improve safety and optimize traffic flow by communicating with other vehicles and infrastructure.

Autonomous vehicle technology has the potential to reduce traffic accidents, increase transportation efficiency, reduce fuel consumption, and provide people with a safer transportation experience. However, for this technology to be widely adopted, various factors such as legal regulations, ethical issues, and social acceptance must be met.

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