How self-driving systems work: what you need to know about driverless cars
SSPDaily has prepared an article about self-driving systems. Find out how these systems navigate without human intervention.
Self-driving systems, also known as autonomous cars, operate and are controlled without human intervention. These systems rely on advanced technologies, including sensors, cameras, and artificial intelligence algorithms, to perceive and understand their surroundings. By using these technologies, they can make informed decisions and adjust their movements accordingly.
How they work
The principles of unmanned control systems involve the integration and analysis of data from various sensors. Sensors such as Lidar (light detection and ranging - a technology similar to radar) are used to detect objects, cameras are used for visual perception, and onboard computers are used to process data and control the vehicle's movement. By combining information from these sensors and applying artificial intelligence algorithms, cars can effectively navigate and respond to various road situations.
Components of self-driving systems
Self-driving systems include various components that ensure their functionality. These include radar systems that detect objects in all directions, lidar systems that measure distances and create detailed 3D maps, and numerous cameras that transmit visual information.
In addition, GPS ensures navigation and following pre-planned routes, communication systems ensure interaction with other vehicles and infrastructure, and control systems ensure the stability and responsiveness of the vehicle during operation.
