Dingrui Wang

Research Topics

• World Models
• Motion prediction & planning
• End-to-end autonomous driving
• Large language models in autonomous driving

Vita

I am currently a Ph.D. student under the supervision of Prof. Johannes Betz at the Autonomous Vehicle Systems Lab at the Technical University of Munich. My research focuses on enhancing motion prediction, planning, and robustness in autonomous driving systems. Specifically, I explore the application of world models and end-to-end learning to develop reliable, data-driven systems capable of handling the complex decision-making required for autonomous navigation.

In 2022, I completed my MSc in Electromechanical Engineering with a focus on Intelligent Mobility from KU Leuven, graduating with distinction. In 2021, I earned my BSc in Process Equipment and Control Engineering from Tianjin University, which provided me with a solid foundation in control and mechanical engineering principles.

Prior to pursuing my Ph.D., I worked as a Research Intern at Inceptio in Shanghai, where I collaborated with Prof. Dr. Ruigang Yang and Dr. Wei Li on long-term behavior prediction for emergency scenarios. In this role, I developed a novel dataset and designed a feature encoder for exteroceptive features. Additionally, as a Research Assistant at the Guangzhou campus of HKUST, I worked with Prof. Dr. Yiding Ji on designing interpretable AI algorithms for autonomous driving.