2025–present
KAIST
M.S. student · Cho Chun Shik Graduate School of Mobility
Advisor: Prof. Inhi Kim. Thesis research: VLM-based intersection context understanding for autonomous mobile robot crossing.
Curriculum vitae / M.S. Student · KAIST
Myeonghyeon Kim김명현
Cho Chun Shik Graduate School of Mobility
Korea Advanced Institute of Science and Technology
I study how autonomous mobile robots can safely navigate urban intersections. My work connects SPaT/R2X communication, robotic navigation and infrastructure-based perception, from real-world crossing experiments to simulation.
Education
Undergraduate
Kookmin University
Automotive IT Convergence · Graduated
Advanced microdegrees in Future Automotive and Future Automotive Mobility Convergence.
Research experience
2024
KAIST
Researcher · Cho Chun Shik Graduate School of Mobility
V2X field experiment analysis and infrastructure-based pedestrian perception.
Sep–Dec 2023
Korea Institute of Science and Technology (KIST)
Credit-linked internship
Motion detection and face recognition for automatic door control.
Research interests
Autonomous mobile robot navigation · SPaT/R2X communication · Infrastructure-based perception · Vision-language models · Intelligent transportation systems
Thesis research VLM-based intersection context understanding for AMR crossing decisions.
Research direction ↗Journal publications
V2X 통신 기반 현장 실험을 통한 교차로 사각지대 돌발상황 C-ITS 시나리오 분석
The Journal of The Korea Institute of Intelligent Transport Systems, 23(6), 174–189 (2024).
DOI ↗Conference contributions
Time-Aware Crosswalk Navigation for Autonomous Mobile Robots Using SPaT-Based R2X Communication
IEEE ITSC 2026 · Late-Breaking Results poster · Naples, Italy.
R2X-Based Robust Navigation System for Autonomous Mobile Robots in Urban Intersections
Korean ITS Spring Conference, 2026 · Poster.
SPaT-Driven Robust Crosswalk Navigation for Autonomous Mobile Robots
APTE 2026 · Conference presentation.
Hidden Costs of Stereo Depth in Real-Time Systems: LiDAR vs. Camera-Based 3D Perception for ITS
Korean ITS Spring Conference, 2025.
군중 대피 안전을 위한 로봇의 새로운 역할: 출구 전방 적응형 장애물
Korea Institute for Structural Maintenance and Inspection, 2025 Fall Conference and Special Lecture.
Multi-Camera Pedestrian Full Trajectory Perception Using YOLO, DeepSORT, and Homography Transform
2025 Suwon ITS Asia-Pacific Forum · Poster PS06-133.
Multi-Camera Pedestrian Full Trajectory Perception Using YOLO, DeepSORT, and Homography Transform
Korean ITS Spring Conference, 2025 · Poster.
자율주행 인프라 기반 보행자 경로 예측 시스템 개발을 위한 보행자 인식 알고리즘 개발 연구
Korean ITS Spring Conference, 2024.
딥러닝 기반 이상 차량 탐지 및 경고 시스템
Korean Society of Mechanical Engineers Spring Conference, 2023.
운전자 시선 집중 물체의 탐지 시스템 개발
Korean Institute of Information Scientists and Engineers Conference Proceedings, 2022.
비전시스템 및 심층신경망 기반 차량 및 운전자의 이상 행동 검출
Korean Institute of Information Scientists and Engineers Conference Proceedings, 2022.
Conference manuscripts
Manuscripts are listed separately from published work and accepted contributions.
R2X-Based Robust Navigation System for Autonomous Mobile Robots in Urban Intersections
ITS World Congress 2026 · Conference manuscript.
Honors & scholarships
2024
Commendation for Meritorious Service
Kookmin University
Recognized for exemplary university life and contributions through external activities.
2023
Grand Prize · IT Convergence Capstone Design Competition
Korean Society of Mechanical Engineers (KSME)
Team project: deep learning-based abnormal vehicle detection and warning system.
2022
1st Award · 10th Cloud Programming World Cup
Cloud Programming World Cup
Team project combining a virtual driving environment, abnormal-object detection and driver gaze recognition.
2022
Encouragement Award · Undergraduate / Junior Paper Competition
Korea Software Congress (KIISE)
Vision-system and deep-neural-network research on abnormal vehicle and driver behaviors.
2018 · 2022
Academic Merit Scholarships
Kookmin University
Academic merit scholarship, Fall 2018 (성적3종) and Fall 2022 (성적2종).
Additional education
Jun 2024
DNA+ Joint Education & Research Program
KAIST & Ajou University
Road transportation convergence program, June 17–28, 2024.
Feb 2024
Two Advanced Microdegrees
Future Automotive · Future Automotive Mobility Convergence
Completed both advanced curricula, 9 credits each.
Mar 2022
Deep Learning Fundamentals
MODULABS · Justin’s course based on Michigan EECS 498
Certificate of completion, March 24, 2022.
Technical skills
- Robotics
- ROS 2, Nav2, LiDAR SLAM, FAST-LIO, sensor integration
- Perception & AI
- YOLO, DeepSORT, Re-ID, homography, VLMs, LLM-guided planning
- Simulation
- Isaac Sim, nuPlan, digital twins
- Programming
- Python, C++, MATLAB, LaTeX
Contact
For research collaborations and inquiries: