51 citations · 117 across the 24 of their papers we have counts for
3 papers · 1 filter
Generalized LOAM: LiDAR Odometry Estimation with Trainable Local Geometric Features
Kohei Honda, Kenji Koide, Masashi Yokozuka +2
This paper presents a LiDAR odometry estimation framework called Generalized LOAM. Our proposed method is generalized in that it can seamlessly fuse various local geometric shapes…
Scalable Fiducial Tag Localization on a 3D Prior Map via Graph-Theoretic Global Tag-Map Registration
Kenji Koide, Shuji Oishi, Masashi Yokozuka +1
This paper presents an accurate and scalable method for fiducial tag localization on a 3D prior environmental map. The proposed method comprises three steps: 1) visual odometry-bas…
Globally Consistent and Tightly Coupled 3D LiDAR Inertial Mapping
Kenji Koide, Masashi Yokozuka, Shuji Oishi +1
This paper presents a real-time 3D mapping framework based on global matching cost minimization and LiDAR-IMU tight coupling. The proposed framework comprises a preprocessing modul…