I2D-LocX: An Efficient, Precise and Robust Method for Camera Localization in LiDAR Maps accepted by IEEE RAL (2025/06)
LiDAR-enhanced 3D Gaussian Splatting Mapping accepted by ICRA 2024 (2025/01)
Released QuadricsReg, a large-scale point cloud registration method using quadric primitives (2024/12)
Released MCVO, a multi-camera visual odometry method on arbitrarily arranged cameras (2024/12)
I2D-Loc++ and FF-KDT accepted by IEEE RAL (2024/08)
POL-VIO and EvLSD-IED accepted by IEEE TIM (2024/08)
FE-LSD accepted by IEEE TPAMI (2023/11)
PyPose: A Library for Robot Learning with Physics-based Optimization accepted by CVPR 2023 (2023/06)
I2D-Loc: Camera Localization via Image to LiDAR Depth Flow accepted by ISPRS J P&RS (2022/10)
Targetless extrinsic calibration between stereo, thermal and laser sensors accepted by IEEE TIM (2022/08)
ULSD: Unified line segment detection across pinhole, fisheye, and spherical cameras won The U. V. Helava Award, best paper of ISPRS J. P&RS 2021 (2022/08)
Unified Representation of Geometric Primitives for Graph-SLAM Optimization Using Decomposed Quadrics accepted by ICRA 2022 (2022/02)
ULSD: Unified Line Segment Detection across Pinhole, Fisheye, and Spherical Cameras accepted by ISPRS J P&RS (2021/06)
Monocular Camera Localization in Prior LiDAR Maps with 2D-3D Line Correspondences accepted by IROS 2020 (2020/07)
LiDAR Enhanced Structure-from-Motion accepted by ICRA 2020 (2020/01)
Research Experience
Was a Postdoctoral Fellow at the AirLab of the Robotics Institute, Carnegie Mellon University (CMU); now an Associate Professor at the Electronic Information School of Wuhan University.
Education
Previously a Postdoctoral Fellow at the AirLab of the Robotics Institute, Carnegie Mellon University (CMU), working with Prof. Sebastian Scherer. Currently working with Prof. Wen Yang on robotics.
Background
Associate Professor at the Electronic Information School of Wuhan University. Research interests include SLAM, exploration, and swarm robotics.