Hoang Viet Do

Hoang Viet Do

Postdoctoral Researcher

iNCSL, Sejong University

Biography

  • I am currently a Postdoctoral Researcher at iNCSL, Sejong University in Seoul, Republic of Korea, working under the supervision of Prof. Jin Woo Song.
  • My research focuses on artificial intelligence for robotics, with an emphasis on Kalman filtering, SLAM, state estimation, and sensor fusion using LiDAR, radar, cameras, IMUs, and GNSS.
Education
  • Ph.D. in Intelligent Mechatronics Engineering, 2025

    Sejong University, Seoul, Republic of Korea

  • M.Eng. in Unmanned Vehicle Engineering, 2021

    Sejong University, Seoul, Republic of Korea

  • B.S. in Control Engineering and Automation Technology, 2018

    Hanoi University of Science and Technology (HUST), Hanoi, Vietnam

Publications

See also my Scholar profile

(2025). INS/Multi-Positioning Sensor-Based Fault Tolerant VTOL Navigation System Via 3D Distance Constraints. IEEE Transactions on Aerospace and Electronic Systems [Q1, IF:5.7].

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(2025). Error-State Kalman Filtering with Linearized State Constraints. Aerospace, 12(3), 243 [Q2, IF:2.2].

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(2024). DeRO: Dead Reckoning Based on Radar Odometry With Accelerometers Aided for Robot Localization. 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Abu Dhabi, United Arab Emirates, 2024, pp. 8547-8554 (Oral Presentation).

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(2024). CREVE: An Acceleration-based Constraint Approach for Robust Radar Ego-Velocity Estimation. arXiv.

arXiv

(2024). Radar Dead-reckoning Based EKF-SLAM Using Virtual Line Segment. Journal of Institute of Control, Robotics and Systems (2024) 30(9):996-1003 (in Korean).

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(2024). Re-estimate the Robot Position by Estimating the Location of Unknown ArUco Markers with Feature Velocity Aid. The Transactions of the Korean Institute of Electrical Engineers, vol. 73, no. 4, pp. 711~717, 2024 (in Korean).

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(2022). An Improvement of 3D DR/INS/GNSS Integrated System using Inequality Constrained EKF. 2022 22nd International Conference on Control, Automation and Systems (ICCAS), Jeju, Korea, Republic of, 2022, pp. 1780-1783.

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(2021). An Adaptive Approach based on Multi-State Constraint Kalman Filter for UAVs. 2021 21st International Conference on Control, Automation and Systems (ICCAS), Jeju, Korea, Republic of, 2021, pp. 481-485.

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(2021). Radar Velocity Measurements Aided Navigation System for UAVs. 2021 21st International Conference on Control, Automation and Systems (ICCAS), Jeju, Korea, Republic of, 2021, pp. 472-476.

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(2020). State Estimation for Polysolenoid Linear Motor based on an Adaptive Unscented Kalman Filter with Unknown Load and Measurement Noises. 2020 20th International Conference on Control, Automation and Systems (ICCAS), Busan, Korea (South), 2020, pp. 643-647.

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(2019). Land-Vehicle Navigation System For Autonomous Driving With Averaged Nonholonomic Measurement. 2019 IEEE Vehicle Power and Propulsion Conference (VPPC), Hanoi, Vietnam, 2019, pp. 1-5.

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(2019). Tracking Control for Electro-Optical System in Vibration Enviroment Based on Self-tuning Fuzzy Sliding Mode Control. Journal of Computer Science and Cybernetics, 35(2), 185–196.

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