2 papers
cs.RO2023
LOG-LIO: A LiDAR-Inertial Odometry with Efficient Local Geometric Information Estimation
Kai Huang, Junqiao Zhao, Zhongyang Zhu +2
Local geometric information, i.e. normal and distribution of points, is crucial for LiDAR-based simultaneous localization and mapping (SLAM) because it provides constraints for dat…
cs.RO2023
LIMOT: A Tightly-Coupled System for LiDAR-Inertial Odometry and Multi-Object Tracking
Zhongyang Zhu, Junqiao Zhao, Kai Huang +3
Simultaneous localization and mapping (SLAM) is critical to the implementation of autonomous driving. Most LiDAR-inertial SLAM algorithms assume a static environment, leading to un…