2020
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
IROS 2020poster
We propose a framework for tightly-coupled lidar inertial odometry via smoothing and mapping, LIO-SAM, that achieves highly accurate, real-time mobile robot trajectory estimation and map-building. LIO-SAM formulates lidar-inertial odometry atop a factor graph, allowing a multitude of relative and ab…