Autonáviagáció

Autonáviagáció refers to the process by which a vehicle navigates autonomously. This involves a system that allows a vehicle to perceive its environment, make decisions based on that perception, and control its own movement without direct human intervention. Key components of autonáviagáció include sensors such as cameras, lidar, and radar to gather information about the surroundings, including other vehicles, pedestrians, road signs, and lane markings. This sensory data is then processed by sophisticated algorithms, often utilizing artificial intelligence and machine learning, to understand the current situation and predict future events. Based on this understanding, the system plans a safe and efficient path, and then actuates the vehicle's controls, such as steering, acceleration, and braking. The goal of autonáviagáció is to enhance safety by reducing human error, improve traffic flow, and provide greater convenience and accessibility for passengers. It encompasses various levels of automation, from driver assistance systems that offer limited autonomy to fully autonomous vehicles capable of navigating in complex environments without any human input.