Wookjin Choi
Papers
2
Total Citations
8
H-Index
2
About
Wookjin Choi is a researcher focused on the intersection of computer vision, robotics, and machine learning, with a particular emphasis on enabling autonomous systems to perceive and interact with their environments. His primary research areas include 3D position estimation, object tracking, and human pose estimation, all within the context of unmanned aerial vehicles (UAVs) and multi-robot systems. In his most cited work, "The 3D Position Estimation and Tracking of a Surface Vehicle Using a Mono-Camera and Machine Learning" (2022, 6 citations), Choi developed a passive vision-only system that leverages machine learning to estimate a target vehicle's 3D position from a single camera, a critical capability for coordinating multi-robot operations without relying on expensive active sensors. Additionally, his work on "Human Pose Estimation in UAV-Human Workspace" (2021, 2 citations) explores how UAVs can safely and effectively operate in human-centric environments by accurately interpreting human body language and posture. These contributions are foundational for advancing human-robot collaboration and autonomous navigation in complex, dynamic settings, making Choi a notable emerging voice in applied computer vision and robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Human Pose Estimation in UAV-Human Workspace2 citations · 2021