Simultaneous Localization and Mapping

Simultaneous Localization and Mapping (SLAM) is a core task in the field of computer vision, aiming to construct a map of an unknown environment and simultaneously track the position of an agent in real-time. This technology achieves 3D reconstruction and localization by fusing sensor data, and it is widely applied in scenarios such as robot navigation, autonomous driving, and augmented reality, demonstrating significant practical value.