RA-L · 2024
iG-LIO-color
摘要
This work proposes an incremental Generalized Iterative Closest Point (GICP) based tightly-coupled LiDAR-inertial odometry (LIO), iG-LIO, which addresses the challenges of integrating GICP into real-time LIO.
This work proposes an incremental Generalized Iterative Closest Point (GICP) based tightly-coupled LiDAR-inertial odometry (LIO), iG-LIO, which addresses the challenges of integrating GICP into real-time LIO.