Sc F Loam

SC-F-LOAM represents a family of LiDAR-based Simultaneous Localization and Mapping (SLAM) systems focused on improving the accuracy and efficiency of robot navigation, particularly in challenging environments. Current research emphasizes enhancing robustness through techniques like implicit meshing, graph-based point cloud matching, and the integration of intensity and temporal information from LiDAR scans, often incorporating ground segmentation for improved feature extraction. These advancements aim to address limitations of traditional methods, such as drift accumulation over long distances and sensitivity to noise in complex scenes, leading to more reliable and computationally efficient autonomous navigation solutions.