Semantic SLAM

Semantic SLAM is a technology that integrates semantic-level scene understanding with traditional SLAM, aiming to acquire both geometric and semantic information of the environment through visual sensors to achieve precise modeling and localization of the surrounding world. This technology not only builds high-precision environmental maps but also identifies and classifies objects within the map, providing richer environmental cognition for applications such as robot navigation and autonomous driving, thereby enhancing the intelligence and adaptability of the system.