Keyframe-based SLAM

Keyframe-based SLAM (Simultaneous Localization and Mapping) is a technique used by robots and autonomous systems to build a map of their environment while keeping track of their position within it. It does this by selecting specific important images or "keyframes" captured during movement. These keyframes serve as reference points to efficiently update the map and determine the system's location. By focusing on keyframes instead of every captured image, the process becomes more accurate and less computationally demanding, allowing for reliable navigation and environment understanding in real-time.