Verification Support for Space Surveillance Radar Orbit Management Module
July 2025 – Present우주감시레이다 궤도관리장치 모듈 검증 지원
Covariance generation and propagation, screening filter development, and collision probability analysis.
AERONAUTICS AND ASTRONAUTICS · ARTIFICIAL INTELLIGENCE
Hello, I’m
Sanghyeon Cho
Welcome to my personal website.
I am currently a Master's student in the Department of Astronomy at
Yonsei University, specializing in Aeronautics and Astronautics.
Here, I share my research, publications, and academic journey.
sang4473@yonsei.ac.kr
ABOUT
Researching Intelligent Systems for Space.
Profile
I am a graduate student at Yonsei University. I graduated from the
Department of Astronomy and Space Science at Kyung Hee University
in February 2025 with a GPA of 4.047/4.3, and entered Yonsei
University in March 2025.
I am currently a member of the Autonomous Spacecraft and
Robotic Systems Laboratory (ASPROS),
where I conduct research under the supervision of Professor Hancheol Cho.
My research interests include vision-based navigation, space
situational awareness (SSA), and AI applications for spacecraft
systems. For my master’s thesis, I am conducting research on deep
learning-based pose estimation for non-cooperative spacecraft.
I am also collaborating with Embry-Riddle Aeronautical University
to develop an AI model for predicting debris trajectories in the
cislunar region. In the future, I hope to study LiDAR-based pose
estimation for unknown and uncooperative spacecraft.
Projects
Development of Core Technologies for Mars Atmospheric Entry, Descent, and Landing for Mars Exploration
November 2025 – Present화성 탐사를 위한 화성대기 진입·감속·착륙 핵심 기술 개발
Bank-angle control for Mars atmospheric entry guidance.
Languages
Japanese
JLPT N1
153/180 · December 2024
JLPT N2
180/180 · December 2023
English
New TEPS
347/600 · August 2023
PUBLICATION
Research Outputs
Selected conference papers and research outputs.