Communication
SPaT/R2X messages provide signal phase and remaining time for crossing decisions.
Myeonghyeon Kim / Academic CV
Robot navigation with infrastructure intelligence
Connecting communication, navigation and scene understanding for autonomous mobile robots in urban intersections.
Research direction
I work on safe AMR navigation at signalized urban intersections, combining infrastructure information with robot perception and motion planning.
Navigation
ROS 2, localization and Nav2 connect crossing decisions to robot motion.
Context
Infrastructure cameras and VLMs support research on scene understanding beyond traffic signals.
Master’s thesis research
Research in progressA Study on Intersection Crossing Navigation for Autonomous Mobile Robots Using VLM-Based Intersection Context Understanding
Advisor: Prof. Inhi Kim · KAIST
The research plan investigates pedestrians, vehicles, crosswalk occupancy and occlusion using infrastructure-camera images. The goal is to inform robot waiting, entry and crossing decisions, with evaluation across lighting and mixed-traffic scenarios.