This letter presents a LiDAR odometry estimation framework called Generalized LOAM. Our proposed method is generalized in that it can seamlessly fuse various local geometric shapes around points to improve the position accuracy compared conventional and mapping (LOAM) method. To utilize continuous features for estimation, we incorporate tiny neural networks into iterative closest point (GICP) a...