WINE LAB.

Dohun Lee

About

I am Do-Hun Lee, an integrated M.S./Ph.D. student in Wireless Intelligence at the Network Edge Lab, Korea University.

My research interests include indoor localization, navigation, and sensor fusion for real-world systems. I have worked on sensor-based localization systems, with experience in localization algorithm design, sensor fusion, and real-time implementation in C/C++.

I am interested in building robust and practical localization systems for challenging environments. I am also interested in localization and navigation for drones and autonomous systems, especially through the integration of IMU, UWB, vision, and wireless signals, as well as embedded real-time systems for practical deployment.

Research Interests

Indoor Localization and Navigation
Sensor Fusion for Real-World Positioning Systems
Localization and Navigation for Drones and Autonomous Systems
Embedded and Edge Real-Time Systems

Contact

luke0911 AT korea DOT ac DOT kr

Publications

International Journals

International Conferences

Domestic Journals

Domestic Conferences

"A Method for Adaptive Step Length Estimation Based on Pedestrian Walking Frequency during Pedestrian Dead Reckoning"

Dohun Lee, Kyeonghyun Yoo, Namkyung Yoon, Byongho Lee, and Hwangnam Kim

Proc. Korea Institute of Communications and Information Sciences, June 2026

New Preprints

"Arm2Air: Cross-Embodiment Skeleton Transfer for 3D Relay Formation"

Dohun Lee*, Kyeonghyun Yoo*, Seokmin Kim, Byongho Lee, Seungjoo Oh, Hwangnam Kim

arXiv:2607.27627 announced July 2026.

Patents

Technical Skills

Programming Skills: C/C++, Python
Libraries & Frameworks: OpenCV, TensorFlow, PyTorch
Tools: MS Visual Studio, MATLAB, Embedded firmware development using ESP32 and STM32 platforms, with supporting toolchains
Operating System: MS Windows, Linux (Ubuntu)

Languages

Korean (Native)
English (Limited)

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