Sangbum Lee

Visual-inertial SLAM Engineer

About Me

I am a Visual-inertial SLAM engineer from Korea with a strong passion for robotics πŸ€–. Currently, I am pursuing my master’s degree in the Navigation and Electronics System Lab (NESL) at Seoul National University. I specialize in designing probabilistic estimators using multiple programming languages, including C++ and Python with ROS πŸ‘¨πŸ»β€πŸ’». While I have a few accepted papers, I take pride in developing my own code, which is available in my repositories. In addition to my SLAM works, I am capable of performing structural and aerodynamic analysis using CATIA and AutoCAD βš™οΈ.

I am always open to collaboration and happy to discuss any of my previous work. Please feel free to reach out with any questions πŸ‘πŸ‘.

Careers πŸŽ“

Master Student in Aerospace Engineering

Seoul National University

Aug. 2023 - Current

Undergraduate Research Assistant

Intelligent Rotorcraft Structure Lab., Konkuk University

Mar. 2023 - Aug. 2023

International Exchange Student

Hamline University

Aug. 2022 - Jan. 2023

Bachelor Degree in Mechanical and Aerospace Engineering

Konkuk University

Mar. 2018 - Aug. 2023

Accepted papers πŸ“ƒ

Dynamic Object Removal for Robust Feature-based Visual-Inertial Odometry

ICRA 2025

Sangbum Lee, Hanyeol Lee, and Chan Gook Park

G4Q-VIO: Ground constraints for a quadruped robot VIO

ICRA 40, Sep. 2024

Sangbum Lee, Hanyeol Lee, and Chan Gook Park

Improvement of Visual-Inertial Odometry Utilizing Plane-Constraints for a Quadruped Robot

ICROS, Jul. 2024

Sangbum Lee, Hanyeol Lee, and Chan Gook Park

Performance Enhancement Analysis of Mars Unmanned Helicopter Rotor

KSAS, Apr. 2023

Seong Hyun Hong, Sangbum Lee, Jae Seong Bae, Sung Nam Jung, et al.

Experience πŸš€

Research Member

Navigation and Electronics Lab.

Sep. 2023 - Current

The Navigation and Electronics Lab (NESL) primarily focuses on researching integrated navigation systems, with recent expansions into SLAM (Simultaneous Localization and Mapping). Through my participation in a project with KARI, I contributed to the development of indoor and outdoor navigation technologies designed to perform effectively in unknown and challenging environments. My specialization lies in visual-inertial navigation systems. As highlighted in my accepted papers, I have focused on incorporating semantic information to improve the navigation accuracy of mobile platforms.

H-Mobility: Autonomous Driving Course

Hyundai Motor Group

Mar. 2024 - Aug. 2024

This course covered the perception, control, and network systems of autonomous driving vehicles. Together with my teammates, I designed an integrated system using ROS 2 Humble and Python. For the implementation, YOLO-based instance segmentation and a bird’s-eye view transformation were employed to enable basic path planning and steering control. Signal communication was seamlessly managed through the DDS (Data Distribution Service) network architecture within ROS 2 Humble.

Coursework

Master and Bachelor Course

  • Integrated Navigation System

    A+

    Master course, Seoul National University

  • Aerospace Estimation

    A-

    Master course, Seoul National University

  • System Engineering

    A+

    Bachelor course, Konkuk University

  • Control Engineering

    A0

    Bachelor course, Konkuk University

A Little More About Me

Alongside my interests in networks and software engineering some of my other interests and hobbies are:

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