Object SLAM

Object SLAM (Simultaneous Localization and Mapping based on objects) is an advanced sub-task in the field of computer vision, aimed at achieving precise localization and map construction of robots or intelligent systems by recognizing and tracking specific objects in the environment. This technology not only provides high-precision location information but also generates maps rich in semantic details, enabling more efficient navigation and interaction in complex dynamic environments. The application value of Object SLAM lies in enhancing the environmental understanding capabilities of autonomous robots, improving their practicality and reliability in areas such as smart manufacturing, intelligent services, and autonomous driving.