10 citations · 33 across the 9 of their papers we have counts for
11 papers
High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDF
Lu Sang, Bjoern Haefner, Xingxing Zuo +1
Fine-detailed reconstructions are in high demand in many applications. However, most of the existing RGB-D reconstruction methods rely on pre-calculated accurate camera poses to re…
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…
Online Self-Calibration for Visual-Inertial Navigation Systems: Models, Analysis and Degeneracy
Yulin Yang, Patrick Geneva, Xingxing Zuo +1
In this paper, we study in-depth the problem of online self-calibration for robust and accurate visual-inertial state estimation. In particular, we first perform a complete observa…
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…
MBA-VO: Motion Blur Aware Visual Odometry
Peidong Liu, Xingxing Zuo, Viktor Larsson +1
Motion blur is one of the major challenges remaining for visual odometry methods. In low-light conditions where longer exposure times are necessary, motion blur can appear even for…
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…