I am an advacned AI research engineer in Huawei Technologies Co., Ltd., China, doing research on AI and machine learning approaches for autonomous driving. Before this, I was a Ph.D. student in Mechatronic Engineering in University of New South Wales (Sydney) since 2016. My research interest includes computer vision, 3D object detection, SLAM, and robotics. The thesis name is object detection for intelligent robots in urban contexts. My Ph.D. advisor is Dr. Jose Guivant. I obtained my bachelor and master degreee from Wuhan University of Technology in 2013 and 2016.
Research interests: Object detection, SLAM, Optimization, Deep learning, Stochastic estimation, Computer vision, Roboitcs.
E-mail: xuesong.li@unsw.edu.au, benzlee08@gmail.com, benzlxs@163.com
Related links: Google Scholar / Github / Linkedin
- 2021-10-10 --- One of my Journal paper Design and experimental validation of a robust model predictive control for the optimal trajectory tracking of a small-scale autonomous bulldozer has been published on Robotics and Autonomous Systems
- 2021-02-24 --- I will join the Huawei technologies co., ltd. as advanced research engineer, doing researches on perception system for autonomous robots, Roadtests of self-driving cars.
- 2021-01-17 --- My journal papers, Efficient and accurate object detection with simultaneous classification and tracking, was under the second review;
- 2020-10-05 --- One of my journal papers, 3D object detection with deep neural network for automatic as-built reconstruction has been accepted by Journal of Construction Engineering and Management;
- 2020-07-18 --- One of my journal papers, Design and Experimental Validation of Robust Model Predictive Control for the Optimal Trajectory-Tracking of a low-scale autonomous Bulldozer was submitted to European Journal of Control;
- 2020-07-11 --- One of my journal papers, 3D object detection with deep neural network for automatic as-built reconstruction was under the second review for Journal of Construction Engineering and Management;
- 2020-05-01 --- My journal paper, Three-dimensional backbone network for 3D object detection in traffic scenes for IEEE Transportation Systems Magazine, was under the second review;
- 2020-04-29 --- One of my journal papers, Real-time 3D object proposal generation and classification using limited processing resources, was accepted by "Robotics and Autonomous Systems";
- 2020-04-05 --- One journal paper, Efficient and accurate object detection with simultaneous classification and tracking, was submitted to IEEE Transactions on Intelligent Transportation Systems and arxiv;
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Real-time 3D object proposal generation and classification using limited processing resources,
Xuesong Li, Jose Guivant and Subhan Khan, Robotics and Autonomous Systems, 130, 103557.
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Efficient and accurate object detection withsimultaneous classification and tracking,
Xuesong Li and Jose Guivant. http://arxiv.org/abs/2007.02065, IEEE Transactions on Intelligent Transportation Systems (under review), 2020
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Detection of imaged objects with estimated scales,
Xuesong Li, Ngaiming Kwok, Jose Guivant, etc. Proceedings of VISAPP, 5, 39-47, 2019.
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Three-dimensional backbone network for 3D object detection in traffic scenes,
Xuesong Li, Jose Guivant, Ngaiming Kwok, etc. https://arxiv.org/pdf/1901.08373.pdf, IEEE Transportation Systems Magazine (2nd review) 2019.
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Efficient methods using slanted support windows for slanted surfaces,
Xuesong Li, Jianguo Liu, Guang Chen, etc. IET Computer Vision, 10, 384-391(7), 2016
- Term1 2020, Lead Tutor, Advanced Autonomous System (MTRN4010) in University of New South Wales;
- Term3 2019, Lead Tutor, Optimisation Methods for Engineering Systems (MTRN4030) in University of New South Wales;
- Term1 2019, Guest Lecturer on Neural network, Advanced Autonomous System (MTRN4010) in University of New South Wales;
- Term1 2018, 2019, Tutor, Advanced Autonomous System (MTRN4010) in University of New South Wales;
- Term2 2018, Tutor, Optimisation Methods for Engineering Systems (MTRN4030) in University of New South Wales;