Liu Kaiqi
Prospective Assistant Professor
(Special Associate Research Fellow)
Date of birth: August 1991
Office Tel: 15810079727
E-mail: liukaiqi@bit.edu.cn

2021.10 till now: School of Information and Electronics, Beijing Institute of Technology
2019.06-2021.09: Postdoctoral Fellow, School of Vehicle and Transport, Tsinghua University
2014.09-2019.06: PhD in Signal and Information Processing, Beijing University of Aeronautics and Astronautics
2013.09-2014.06: Master of Signal and Information Processing in Beihang University
2009.09-2013.06: Majored in Electronic Information Engineering, Beijing University of Aeronautics and Astronautics

Automatic driving environment perception, LiDAR 3D point cloud processing, target detection and recognition, etc.

2021.10 till now: School of Information and Electronics, Beijing Institute of Technology
2019.06-2021.09: Postdoctoral Fellow, School of Vehicle and Transport, Tsinghua University
2014.09-2019.06: PhD in Signal and Information Processing, Beijing University of Aeronautics and Astronautics
2013.09-2014.06: Master of Signal and Information Processing in Beihang University
2009.09-2013.06: Majored in Electronic Information Engineering, Beijing University of Aeronautics and Astronautics

2021.10 till now: School of Information and Electronics, Beijing Institute of Technology
2019.06-2021.09: Postdoctoral Fellow, School of Vehicle and Transport, Tsinghua University
2014.09-2019.06: PhD in Signal and Information Processing, Beijing University of Aeronautics and Astronautics
2013.09-2014.06: Master of Signal and Information Processing in Beihang University
2009.09-2013.06: Majored in Electronic Information Engineering, Beijing University of Aeronautics and Astronautics

He has been engaged in theoretical and applied research on autonomous driving environment perception for a long time, and presided over or participated in a number of national projects such as the National Natural Science Foundation Youth Fund, the National Key Research and Development Program sub-project, and the National Outstanding Youth Science Fund Project. He has published more than 10 SCI and other high-level papers, and granted 2 patents, some achievements are as follows:
[1] Liu K, Wang W*, Tharmarasa R, et al. Dynamic vehicle detection with sparse point clouds based on PE-CPD[J]. IEEE Transactions on Intelligent Transportation Systems, 2019, 20(5): 1964-1977.
[2] Liu K, Wang J*. Fast dynamic vehicle detection in road scenarios based on pose estimation with convex-hull model[J]. Sensors, 2019, 19(14): 3136.
[3] Liu K, Wang W*, Tharmarasa R, et al. Ground surface filtering of 3D point clouds based on hybrid regression technique[J]. IEEE Access, 2019, 7: 23270-23284.
[4] Liu K, Wang W*, Wang J. Pedestrian detection with LiDAR point clouds based on single template matching[J]. Electronics, 2019, 8(7): 780.
[5] Liu K, Wang W. Pedestrian detection on the slope using multi-layer laser scanner[C]//2017 20th International Conference on Information Fusion (Fusion). IEEE, 2017: 1-7.
[6] Liu K, Wang W, Sun Z. Recognition of SAR image based on combined templates[C]//2013 IEEE International Conference on Imaging Systems and Techniques (IST). IEEE, 2013: 284-287.
A dynamic vehicle detection method, ZL202010935148.X.
An average template recognition method with rejection function, ZL201310161165.2.
[9] Multi-domain coupling collaborative situation awareness and Risk assessment of intelligent vehicles under extreme visual range, Youth Science Foundation of National Natural Science Foundation of China, 2010/01/2021.01 -- 2023.12. [10] Standardization Framework of Collaborative Cloud control System for New Energy Vehicle Operation Safety, Sub-project of National Key Research and Development Plan, Deputy leader of the topic, 2019.12-2022.11. [11] Automobile Intelligent Safety, National Natural Science Foundation of China Outstanding Youth Fund Project, Project backbone, 3.5 million, 2017.01-2021.02.

[1] Beijing Outstanding Graduate, 2019.
[2] Second Prize of the first Radar Signal Processing Technology Collaborative Innovation Challenge, 2015.