CV

Education

• M.S. in College of Control Science and Engineering, Zhejiang University (ZJU), 2020.09-2023.03
• B.S. in School of Astronautics, Harbin Institute of Technology (HIT), 2016.09-2020.06

Experience

• Member of Competitive Robot Team, Harbin Institute of Technology (HIT), 2017-2019
• Technical Adviser of Competitive Robot Team, Harbin Institute of Technology (HIT), 2019-2020
• Master student in April Lab, Zhejiang University (ZJU), 2020-2023

Skills

• C/C++, Python, MATLAB
• SLAM
• Deep Learning
• Linux
• PyTorch, ROS, OpenCV, PCL, Boost, Eigen, Ceres, g2o, GTSAM

Publications

SA-LOAM: Semantic-aided LiDAR SLAM with Loop Closure

L. Li, X. Kong, X. Zhao, W. Li, F. Wen, H. Zhang, and Y. Liu. "SA-LOAM: Semantic-aided LiDAR SLAM with Loop Closure," 2021 IEEE International Conference on Robotics and Automation (ICRA), 2021, pp. 7627–7634.

SSC: Semantic Scan Context for Large-Scale Place Recognition

L. Li, X. Kong, X. Zhao, T. Huang, W. Li, F. Wen, H. Zhang, and Y. Liu, “SSC: Semantic scan context for large-scale place recognition,” 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021, pp. 2092-2099.

Semantic scan context: a novel semantic-based loop-closure method for LiDAR SLAM

Li, L., Kong, X., Zhao, X. et al. Semantic scan context: a novel semantic-based loop-closure method for LiDAR SLAM. Auton Robot 46, 535–551 (2022).

RINet: Efficient 3D Lidar-Based Place Recognition Using Rotation Invariant Neural Network

L. Li, X. Kong, X. Zhao, T. Huang, W. Li, F. Wen, H. Zhang, and Y. Liu, "RINet: Efficient 3D Lidar-Based Place Recognition Using Rotation Invariant Neural Network," in IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 4321-4328, April 2022.

Competitions

• First prize in 2018 ABU Asia-Pacific Robot Contest
• First prize in 2019&2020 ROBOMASTER Robotics Competition

Honors

• National Encouragement Scholarship, China, 2017&2018
• People’s Scholarship Award, HIT, 2017&2018&2019&2020