3D Map

3D mapping focuses on creating accurate and detailed three-dimensional representations of environments, primarily for improved navigation, localization, and scene understanding in robotics, autonomous vehicles, and augmented reality. Current research emphasizes integrating diverse data sources (LiDAR, cameras, inertial measurement units) using techniques like SLAM (Simultaneous Localization and Mapping), deep learning for occlusion removal and semantic understanding, and neural radiance fields for high-fidelity reconstruction. These advancements are crucial for enhancing applications ranging from urban planning and disaster response to improved human-robot interaction and safer autonomous navigation.