10 citations · 50 across the 11 of their papers we have counts for
13 papers
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…
Semantic Segmentation-assisted Scene Completion for LiDAR Point Clouds
Xuemeng Yang, Hao Zou, Xin Kong +5
Outdoor scene completion is a challenging issue in 3D scene understanding, which plays an important role in intelligent robotics and autonomous driving. Due to the sparsity of LiDA…
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…
SSC: Semantic Scan Context for Large-Scale Place Recognition
Lin Li, Xin Kong, Xiangrui Zhao +2
Place recognition gives a SLAM system the ability to correct cumulative errors. Unlike images that contain rich texture features, point clouds are almost pure geometric information…
SA-LOAM: Semantic-aided LiDAR SLAM with Loop Closure
Lin Li, Xin Kong, Xiangrui Zhao +4
LiDAR-based SLAM system is admittedly more accurate and stable than others, while its loop closure detection is still an open issue. With the development of 3D semantic segmentatio…
FlowMOT: 3D Multi-Object Tracking by Scene Flow Association
Guangyao Zhai, Xin Kong, Jinhao Cui +2
Most end-to-end Multi-Object Tracking (MOT) methods face the problems of low accuracy and poor generalization ability. Although traditional filter-based methods can achieve better…