About Me

Here is Xuanlin Zeng.

I am currently a first-year Ph.D. Student from the Institute of Intelligent Vehicles and the College of Electronic and Information Engineering, Tongji University, Shanghai, China. I am advised by Research Professor Lulu Guo. I received the B.E. degree in industrial design (vehicle body engineering) from the College of Automotive Engineering, Jilin University, Changchun, China, in 2022. From 2022 to 2024, I was also a master’s student in vehicle engineering with the School of Automotive Studies, Tongji University, Shanghai, China, advised by Distinguished Professor Hong Chen.

Research Interests

Multi-Vehicle Cooperative Control
Intelligent Transportation Systems
Eco-Driving
Autonomous Vehicles

I am actively looking for potential collaboration. Please feel free to email me at zengxuanlin@tongji.edu.cn

📖 Educations

June 2024 - Now: Ph.D. Student, Control Science and Engineering, College of Electronic and Information Engineering, Tongji University, Shanghai China
- Advised by Research Professor Lulu Guo
Sep. 2022 - June 2024, Master of Science (M.S.), Vehicle Engineering, School of Automotive Studies, Tongji University, Shanghai China
- Co-advised by Distinguished Professor Hong Chen and Research Professor Lulu Guo
- GPA: 4.83/5.00 (90.45/100), Test Waiver Admission
Sep. 2018 - June 2022, Bachelor of Engineering (B.E.), Industrial Design (Vehicle Body Engineering), College of Automotive Engineering, Jilin University, Changchun, China
- Co-advised by Professor Xingjun Hu, Professor Jindong Ren
- GPA: 3.72/4.00 (90.75/100), Ranking: 3rd/101 (Top 3%), Outstanding Graduate

🔥 News

June 2024: 🎉🎉 I was admitted to the College of Electronic and Information Engineering, Tongji University to pursue the Ph.D. degree in Control Science and Information Engineering.
May 2023: 🎉🎉 Our Chinese patent related to the scenario complexity of autonomous driving is in the ‘‘Application Published’’ status.
Sep. 2022: 🎉🎉 I enrolled at Tongji University as a master’s student to continue my studies and research work.
June 2022: 🎉🎉 I graduated from Jilin University as an Outstanding Graduate.
Sep. 2021: 🎉🎉 I was granted admission to the Master’s program at the Institute of Intelligent Vehicles of Tongji University through the Test Waiver Admission.
Sep. 2018: 🎉🎉 I entered the College of Automotive Engineering, Jilin University to begin my undergraduate academic journey through the National College Entrance Examination.

📝 Publications

Coming Soon🚀~

A Scenario Complexity Model Construction Method Based on Autonomous Driving

Yulei Wang, Xuanlin Zeng, Yanjun Huang, Lulu Guo, Lin Zhang, Hong Chen

CN Patent: CN 116090334 A

Publication Download

This invention pertains to a method for constructing a scenario complexity model based on autonomous driving, comprising the following steps: determining complexity weight factors in autonomous driving tasks; establishing a complexity model for autonomous driving tasks based on the complexity weight factors; building a scenario complexity model based on the autonomous driving task complexity model. The autonomous driving tasks encompass localization tasks, perception tasks, and control tasks. In contrast to existing technology, this invention takes into consideration the complexity and weight factors of various factors involved in dynamic driving tasks: localization, perception, and control. It constructs a scenario complexity model with a neural network-like structure. This model can provide a theoretical foundation and scientific basis for autonomous vehicle testing and evaluation, industry standards, and the formulation of relevant legal regulations.