Vision-based SLAM

Vision-based SLAM (Simultaneous Localization and Mapping) uses cameras to help a robot or device understand its environment and determine its position within it in real-time. The system captures images to identify features like edges or textures, building a map as it moves. By analyzing how these features change across images, it tracks its own movement. This allows the device to navigate accurately without relying solely on GPS or other sensors. It's commonly used in autonomous vehicles, drones, and augmented reality to create detailed maps and maintain precise localization in complex environments.