Jiali Bao

Jiali Bao Picture


1357 S. 46th Street
Building 177, Room 3
Richmond, CA 94804
United States
Email Address: 

Current Research

Dr. Bao's research interests include:

  • Autonomous Driving
  • Vehicle localization
  • Motion Planning
  • Machine Learning
  • Eco Driving


Dr. Bao is a Postdoctoral researcher at California PATH. His primary research collaborator at PATH is Wei-bin Zhang, who is a Program Leader at PATH. He works on eco-driving technology, focusing on image processing. Before joining PATH, Dr. Bao did research in autonomous driving in the University of Tokyo. His topic was vehicle motion planning in urban city.


  • Ph.D., Information & Communication Engineering, the University of Tokyo, 2019
  • M.S., Information Security, Shanghai Jiaotong University, 2014
  • Engineer Degree, Information System Engineering, Ecole des Mines D’Ales, 2012
  • B.S., Information Security, Shanghai Jiatong University, 2011


  • J. Bao, Y. Gu, and S. Kamijo, “Vehicle Localization System in Urban Scenario with Three-Dimensional City Map,”, in The International Journal of Automotive Engineering, vol. 9, no. 2, pp. 79-85, 2018
  • J. Bao, Y. Gu, and S. Kamijo, “Vehicle positioning with the integration of scene understanding and 3D map in urban environment,” in IEEE Intelligent Vehicles Symposium, Proceedings, 2017, pp. 68–73.
  • J. Bao, Y. Gu, L.-T. Hsu, and S. Kamijo, “Vehicle self-localization using 3D building map and stereo camera,” in IEEE Intelligent Vehicles Symposium, Proceedings, 2016, pp. 927–932.
  • J. Bao, J. Guo, and J. Xu. "A robust watermarking scheme for region of interest in H. 264 scalable video coding," in 2013 2nd International Symposium on Instrumentation and Measurement, Sensor Network and Automation (IMSNA). IEEE, 2013, pp. 536-538.