Point level confidence-driven optimization for LiDAR-Inertial SLAM mapping in dynamic environments
This work proposes a novel method for constructing point-wise observation confidence by integrating geometric consistency, free-space reasoning, and temporal stability, which retains the observability of geometric constraints while effectively mitigating the impact of dynamic interference, thereby enhancing mapping acc...