3 citations · 5 across the 5 of their papers we have counts for
5 papers
Convex Hull-based Algebraic Constraint for Visual Quadric SLAM
Xiaolong Yu, Junqiao Zhao, Shuangfu Song +4
Using Quadrics as the object representation has the benefits of both generality and closed-form projection derivation between image and world spaces. Although numerous constraints…
LOG-LIO2: A LiDAR-Inertial Odometry with Efficient Uncertainty Analysis
Kai Huang, Junqiao Zhao, Jiaye Lin +4
Uncertainty in LiDAR measurements, stemming from factors such as range sensing, is crucial for LIO (LiDAR-Inertial Odometry) systems as it affects the accurate weighting in the los…
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…
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…
DL-SLOT: Dynamic LiDAR SLAM and object tracking based on collaborative graph optimization
Xuebo Tian, Zhongyang Zhu, Junqiao Zhao +2
Ego-pose estimation and dynamic object tracking are two critical problems for autonomous driving systems. The solutions to these problems are generally based on their respective as…