Szenzorfúziós
Szenzorfúzió refers to the process of combining data from multiple sensors to create a more comprehensive and accurate understanding of the environment or an object. This technique is employed in various fields, including robotics, autonomous vehicles, augmented reality, and industrial automation. By integrating information from different sensor types, such as cameras, lidar, radar, and infrared sensors, a system can overcome the limitations of individual sensors and achieve improved performance.
The primary goal of szenzorfúzió is to enhance situational awareness. For instance, a camera might provide
Various methods exist for implementing szenzorfúzió, often categorized into low-level fusion (combining raw sensor data) and