Achievements
Awards, Publications, Projects, and Training
Selected evidence of research capability, implementation experience, competition outcomes, and training records. This page complements the main CV homepage with a more detailed record of achievements.
Awards
Competition and Academic Awards
Grand Prize, KSME IT Convergence Capstone Design Competition
Awarded Grand Prize for a deep learning-based abnormal vehicle detection and warning system combining abnormal object detection and driver gaze estimation.
1st Award, The 10th Cloud Programming World Cup
Built a traffic accident prediction model using a virtual driving environment, abnormal object detection, and driver gaze recognition.
Encouragement Award, KIISE Undergraduate / Junior Paper Competition
Received an award for research on abnormal vehicle and driver behavior detection using vision systems and deep neural networks.
University Commendation and Scholarships
Recognized for competition awards, project experience, and academic performance during undergraduate study.
Publications
Research Outputs
Time-Aware Crosswalk Navigation for Autonomous Mobile Robots Using SPaT-Based R2X Communication
Myeonghyeon Kim, Junyoung Kim, Inhi Kim. IEEE ITSC 2026 Late-Breaking Results Poster, accepted.
R2X-Based Robust Navigation System for Autonomous Mobile Robots in Urban Intersections
Myeonghyeon Kim, Junyoung Kim, Inhi Kim, Gyounghun Chun. Korean ITS Spring Conference Poster, 2026.
Multi-Camera Pedestrian Full Trajectory Perception Using YOLO, DeepSORT, and Homography Transform
Myeonghyeon Kim, Inhi Kim. ITS Asia-Pacific 2025 submission.
Analysis of C-ITS Scenarios for Blind Spot Incidents at Intersections Using V2X Communication-Based Field Experiment
Co-author, Journal of Korean Society of Intelligent Transport Systems, 2024.
Posters & Manuscripts
Recent Research Materials
Selected poster and manuscript materials related to R2X/SPaT-based autonomous mobile robot navigation.
Poster
R2X-Based Robust Navigation System for AMRs in Urban Intersections
2026 Korean ITS Spring Conference Poster
Presents an R2X/SPaT-based navigation framework for autonomous mobile robots at signalized crosswalks, comparing vision-based and SPaT-based decision making.
Manuscript
SPaT-Driven Robust Crosswalk Navigation for Autonomous Mobile Robots
SPaT-Driven Robust Crosswalk Navigation
Defines crosswalk traversal as a time-constrained decision problem and uses SPaT remaining-time information with a Time-to-Cross criterion.
Manuscript
R2X-Based Robust Navigation System for Autonomous Mobile Robots
R2X-Based Robust Navigation System
Describes an R2X communication-based AMR navigation system that leverages SPaT information for robust, predictive crossing decisions.
Projects
Implementation Experience
Face Recognition-based Automatic Door Control System
Developed during a KIST internship using motion detection, RetinaFace, WebSocket communication, and face recognition for access control.
V2X/C-ITS Field Experiment Analysis
Participated in V2X-based C-ITS scenario experiments for intersection blind-spot incidents, including GNSS trajectory analysis.
Deep Learning-based Abnormal Vehicle Detection and Warning
Built a warning system combining abnormal vehicle/object detection with driver gaze estimation.
Pedestrian Recognition for Infrastructure-based Path Prediction
Compared object detection models for real-time infrastructure-based pedestrian recognition and path prediction systems.
Training
Education, Internship, and Training
KIST Internship
Completed a credit-linked internship program at Korea Institute of Science and Technology.
Future Mobility Microdegree
Completed a formal future automotive / mobility curriculum.
DNA+ Training
Strengthened practical understanding of V2X, transportation data analysis, and autonomous driving infrastructure.