Mobile Mapping

Mobile mapping uses various sensor combinations, such as LiDAR, cameras, and IMUs, mounted on mobile platforms to create detailed 3D models of environments. Current research emphasizes improving accuracy and robustness, particularly in challenging conditions like those with limited sensor overlap or degenerate environments, often employing advanced algorithms like LiDAR-inertial odometry and deep learning for depth estimation and data fusion. These advancements are driving applications in urban monitoring, digital twin creation, and autonomous navigation, providing high-resolution, up-to-date geographic information for diverse fields.