5 citations · 11 across the 5 of their papers we have counts for
4 papers · 1 filter
Observability-Aware Intrinsic and Extrinsic Calibration of LiDAR-IMU Systems
Jiajun Lv, Xingxing Zuo, Kewei Hu +3
Accurate and reliable sensor calibration is essential to fuse LiDAR and inertial measurements, which are usually available in robotic applications. In this paper, we propose a nove…
CLINS: Continuous-Time Trajectory Estimation for LiDAR-Inertial System
Jiajun Lv, Kewei Hu, Jinhong Xu +3
In this paper, we propose a highly accurate continuous-time trajectory estimation framework dedicated to SLAM (Simultaneous Localization and Mapping) applications, which enables fu…
LIC-Fusion 2.0: LiDAR-Inertial-Camera Odometry with Sliding-Window Plane-Feature Tracking
Xingxing Zuo, Yulin Yang, Patrick Geneva +4
Multi-sensor fusion of multi-modal measurements from commodity inertial, visual and LiDAR sensors to provide robust and accurate 6DOF pose estimation holds great potential in robot…
Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation
Jiajun Lv, Jinhong Xu, Kewei Hu +2
Sensor calibration is the fundamental block for a multi-sensor fusion system. This paper presents an accurate and repeatable LiDAR-IMU calibration method (termed LI-Calib), to cali…