About Me

Here is Yuhao Du (杜宇豪).

I am currently a Phd student in the Intelligent Transportation Research Center at Wuhan University of Technology，supervised by Prof. Yi HE.I graduated from the Department of Traffic Engineering at East China Jiaotong University in 2022 with a Bachelor of Engineering degree. In the same year, began pursuing a Master of Engineering degree at the Intelligent Transportation Systems Research Center of Wuhan University of Technology, specializing in motion planning for autonomous vehicles.

Before my Phd stage, I have been working on the topic of autonomous driving using Nolinear Planning. I am highly interested in cutting-edge fields such as end-to-end autonomous driving, diffusion models, and large model-guided vehicle motion planning. I am convinced that key next-generation technologies—including large models, end-to-end approaches, and diffusion models—will empower the vehicle-road-cloud integrated intelligent transportation systems, bringing revolutionary changes to traditional traffic and making L4-level autonomous driving achievable.

Specifically, my doctoral research will focus on autonomous vehicles, with an emphasis on motion planning. I aim to explore the application of new artificial intelligence technologies in planning and control, ultimately achieving the integration of intelligent transportation systems and autonomous driving.

If you are interested in any aspect of me, I am always open to discussions and academic collaborations. Feel free to reach out to me at — yuhao_du [at] whut.edu.cn

Research Interests

Diffusion Model
End 2 End Autonomous Driving
Large Language Model Agents
Vehicle Motion Planning

News and Updates

June 2025：Awarded Outstanding Master’s Graduate by Wuhan University of Technology
June 2025：Successfully passed the master’s thesis defense and was awarded a Master of Engineering degree.
November 2024：First Place, Virtual-Real Integration Autonomous Driving Challenge
June 2024：First Place, OnSite Autonomous Driving Algorithm Challenge – Parking Specialty Competition
June 2023：Third Place, OnSite Autonomous Driving Algorithm Challenge – Merging & Exiting Specialty Competition
June 2023：Tenth Place, OnSite Autonomous Driving Algorithm Challenge – Basic Highway Specialty Competition