🎉 Graduated from Tongji University and received the M.Sc. in Transportation Engineering.
Graduation ceremony of the College of Transportation Engineering
About Me
I am currently an research assistant at Tongji University, having obtained a Master of Science degree in Transportation Engineering from the Urban Mobility Institute of the College of Transportation Engineering.
Before my journey at TJU, I laid my academic foundations at the College of Engineering of Nanjing Agriculture University, where I obtained my Bachelor’s degree of Engineering in Transportation. During my years there, I had the privilege of exploring the Route Planning Problems using deeplearning algorithms, which contributed to my bachelor’s thesis and earned a nomination for Best Thesis. [Sep,2017-Jul,2021]
At TJU, the Urban Mobility Institute is an interdisciplinary institute. With my background in Transportation, and under the guidance of several professors from the College of Surveying and Geo-informatics at Tongji University and the School of Resource and Environmental Sciences at Wuhan University, I was responsible for tackling and completing key research components of a critical R&D project. This experience led me to shift my focus to the field of high-definition maps, focusing on HD map modeling, dynamic information organization and management, and information interaction. [Sep,2021-Sep,2024]
Currently, I am seeking suitable opportunities for a PhD program to continue my studies. If you are interested in learning more about me, please feel free to contact me. You can find additional information about me here.
Interests
- High-Definition Map
- Smart City
- Artificial Intelligence
- Human Mobility
Education
MSc of Urban Mobility, 2024
Tongji University
BSc in Transportation, 2021
Nanjing Agriculture University
📚 My Research
My research enthusiasm lies in applying AI to grounded tasks. My primary goal is to develop methods for efficiently extracting key information from crowdsourced big data to serve urban science. To achieve this goal, I identified three main challenges:
🧗 Challenge 1 Multi-element Extraction
How can valuable information be effectively extracted from crowdsourced SVI to enhance the detection and classification of road features for autonomous vehicles.
🧗 Challenge 2 Multi-element Integration
What machine learning models and data fusion techniques can be developed to integrate diverse data sources, such as SVI and vehicle sensor data, for real-time updates.
🧗Challenge 3 Multi-element Management
How can the proposed methods for accuracy, reliability, and scalability in various driving environments.
Please reach out to collaborate and make the future city more intelligent, sustainable and eco-friendly 💪🏻💪🏽💪🏿💪🦾
Featured Publications
Recent Publications
(2024).
An Approach for High Definition Map Information Interaction for Autonomous Driving.
Geomatics and Information Science of Wuhan University, 49(4).
(2024).
Dynamic Data Interaction Patterns and Contents of High Definition Maps for Autonomous Driving.
Chinese Society for Geodesy Photogrammetry and Cartography.
(2023).
An Approach of High Definition Map Information Interaction.
In ISPRS Geospatial Week 2023.
Recent & Upcoming Talks
Recent News
🤔 How should we face the approaching future, living in the artificial intelligence era?
Personal opinions for the developement of technology.