Wu Haoran

I'm currently a Ph.D. candidate at Tsinghua University, adviced by Prof. Sifa Zheng. My research revolves around autonomous driving and deep learning. I'm particularly fascinated by intention recognition, trajectory prediction, and their evaluation protocol. I'm always eager to try out different fields and collaborate with people to explore the possibilities of autonomous driving.

At the moment, I'm enjoying a one-year visiting at AdaComp, School of Computing, National University of Singapore, where I have the privilege of being advised by Prof. David Hsu. I received my B.E. in Vehicle Engineering from Tsinghua University in 2019.

Email  /  CV  /  Slides  /  Google Scholar  /  Github

Research

I'm interested in autonomous driving, deep learning, intention recognition and trajectory prediction. Much of my research is about predicting the future states (intention, position, etc) from past observations. Representative papers are highlighted.

We demonstrate that an interactive, task-driven evaluation approach for trajectory prediction is crucial to reflect its efficacy for autonomous driving.

We propose a pedestrian latent intention estimation method based on the extended theory of planned behavior.

We present a novel pedestrian trajectory prediction method that involves pedestrian intention and behavior information into prediction.

Template from Jon Barron.