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Dr. BAI Shiyu

Dr. BAI Shiyu

Research Assistant Professor

Biography

 

Area of Specialisation

  • ISAC-enabled Low-altitude Target Sensing and Localization
  • AI-enabled Navigation
  • Multisensor Fusion for Robust Localization

 

Short Description

Dr Shiyu BAI received his Ph.D. degree in Navigation, Guidance, and Control from Nanjing University of Aeronautics and Astronautics (NUAA) in 2022. From 2023 to 2025, he worked as a Postdoctoral Fellow at The Hong Kong Polytechnic University (PolyU). He is currently a Research Assistant Professor in the Department of Aeronautical and Aviation Engineering (AAE) at PolyU. Dr BAI received the Youth Innovation Doctoral Dissertation Award from the Chinese Society of Inertial Technology (中國慣性技術學會優博) and the Outstanding Doctoral Dissertation Award from NUAA, both in 2024. In addition, he won First Prize in the “Challenge Underground 2020” competition organized by the Science and Technology Committee of the Central Military Commission.

 

Selected Journal Publications

  1. Bai, S., Wen, W., Su, D., & Hsu, L. T. (2025). Graph-based indoor 3D pedestrian location tracking with inertial-only perception. IEEE Transactions on Mobile Computing, 24(5), 4481-4495.
  2. Bai, S., Wen, W., Hsu, L. T., & Yang, P. (2024). Factor graph optimization-based smartphone IMU-only indoor SLAM with multi-hypothesis turning behavior loop closures. IEEE Transactions on Aerospace and Electronic Systems, 60(6), 8380-8400.
  3. Bai, S., Wen, W., Li, Y., Shi, C., & Hsu, L. T. (2024). Towards persistent spatial awareness: A review of pedestrian dead reckoning-centric indoor positioning techniques. IEEE Transactions on Instrumentation and Measurement, 73, 1-28.
  4. Bai, S., Wen, W., & Shi C. (2024). 3DIO: Low-drift 3D deep-inertial odometry for indoor localization using an IMU. IEEE Internet of Things Journal, 12(9), 12711-12722.
  5. Bai, S., Lai, J., Lyu, P., Cen, Y., Sun, X., & Wang, B. (2023). Performance enhancement of tightly coupled GNSS/IMU integration based on factor graph with robust TDCP loop closure. IEEE Transactions on Intelligent Transportation Systems, 25(3), 2437-2449.
  6. Bai, S., Lai, J., Lyu, P., Wang, B., Sun, X., & Yu, W. (2023). An enhanced adaptable factor graph for simultaneous localization and calibration in GNSS/IMU/odometer integration. IEEE Transactions on Vehicular Technology, 72(9), 11346-11357.
  7. Bai, S., Lai, J., Lyu, P., Cen, Y., Wang, B., & Sun, X. (2022). Graph-optimisation-based self-calibration method for IMU/odometer using preintegration theory. The Journal of Navigation, 75(3), 594-613.
  8. Bai, S., Lai, J., Lyu, P., Ji, B., Wang, B., & Sun, X. (2022). A novel plug-and-play factor graph method for asynchronous absolute/relative measurements fusion in multisensor positioning. IEEE Transactions on Industrial Electronics, 70(1), 940-950.
  9. Bai, S., Lai, J., Lyu, P., Cen, Y., & Ji, B. (2021). Improved preintegration method for GNSS/IMU/in-vehicle sensors navigation using graph optimization. IEEE Transactions on Vehicular Technology, 70(11), 11446-11457.
  10. Lyu, P., Bai, S., Lai, J., Wang, B., Sun, X., & Huang, K. (2021). Optimal time difference-based TDCP-GPS/IMU navigation using graph optimization. IEEE Transactions on Instrumentation and Measurement, 70, 1-10.

 

Book Publication

  1. Lai, J., Bai, S., Lyu, P., Yuan, C., Zeng, Q. (2025). Theory and application of factor graph integrated navigation (因子圖組合導航理論與應用). China Science Publishing & Media Ltd.

 

 

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