mélységadatok

Mélységadatok, often translated as depth data or depth information, refers to data that quantifies the distance from a sensor to a point in a scene. This type of data is crucial for understanding the three-dimensional structure of an environment. It is typically collected by specialized sensors such as lidar, structured light scanners, or time-of-flight cameras. Unlike traditional two-dimensional images that capture color and intensity, mélységadatok provides a direct measurement of depth for each pixel or point in the dataset.

The primary application of mélységadatok lies in enabling machines to perceive and interact with the physical world in a more sophisticated manner. This is fundamental for autonomous systems like self-driving cars, where accurate depth perception is vital for navigation, obstacle avoidance, and path planning. In robotics, mélységadatok allows robots to grasp objects, navigate complex environments, and perform tasks that require spatial awareness. Furthermore, it finds utility in augmented reality and virtual reality systems, where it is used to accurately overlay virtual objects onto the real world or create immersive virtual environments. Other fields such as 3D modeling, surveying, and medical imaging also benefit from the rich spatial information provided by mélységadatok.