Yu (Brian) Yao

PhD Student
Robotics

FXB 2016 – brianyao@umich.edu

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About Brian

Yu (Brian) Yao is a PhD student in the Robotics Program at the University of Michigan. Brian holds a Master of Science in Robotics from the University of Michigan and a Bachelor’s in Aerospace Engineering from Beijing Institute of Technology.

Research Interests

Brian PhD work focuses on intelligent event data recorder for autonomous driving systems.He is specifically focusing on vision-based prediction and spatio-temporal anomaly/event detection and the applications in intelligent transportation systems (e.g. autonomous vehicles). He is also interested in advanced Artificial Intelligence topics such as game theory and deep reinforcement learning.

Recent Publications

Journal Papers:

  • Yao Y., Atkins EM. The Smart Black Box: A Value-Driven High-Bandwidth Automotive Event Data Recorder. IEEE Transactions on Intelligent transportation systems. (Under review) arXiv:1903:01450
  • Li N, Yao Y, Kolmanovsky I, Atkins E, Girard A. Game-Theoretic Modeling of Multi-Vehicle Interactions at Uncontrolled Intersections. IEEE Transactions on Intelligent transportation systems. (Under review) arXiv:1904.05423

Conference Papers:

  • Yao Y, Xu M, Wang Y, Crandall DJ, Atkins EM. Unsupervised Traffic Accident Detection in First-Person Videos. In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)  arXiv:1903.00618
  • Castagno J, Yao Y, Atkins E. Realtime Rooftop Landing Site Identification and Selection in Urban City Simulation. arXiv:1903.03829.
  • Yao Y, Xu M, Choi C, Crandall DJ, Atkins EM, Dariush B. Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems. In Robotics and Automation (ICRA), 2019 IEEE ConferencearXiv:1809.07408 
  • Yao Y., Atkins EM. The Smart Black Box: A Value-Driven Automotive Event Data Recorder. In Intelligent Transportation Systems (ITSC), 2018 IEEE 21th International Conference.  doi: 10.1109/ITSC.2018.8569253