Doyeop Lee
Papers
1
Total Citations
13
H-Index
1
About
Doyeop Lee is a leading researcher at the intersection of computer vision and construction safety, with a primary focus on developing automated monitoring systems for hazardous jobsites. His most-cited work, "Rigorous analysis of safety rules for vision intelligence-based monitoring at construction jobsites" (2021, 13 citations), provides a foundational framework for translating complex safety regulations into machine-readable rules that can be enforced by AI systems. Lee’s major contribution lies in bridging the gap between theoretical safety protocols and practical, real-time computer vision applications—addressing critical challenges such as occlusion, dynamic environments, and rule ambiguity that have historically hindered deployment. By systematically analyzing compliance requirements, his research enables more robust and reliable vision-based monitoring, directly impacting worker safety and accident prevention. This work has been cited by peers developing next-generation construction site surveillance, underscoring its influence. Lee’s achievements include advancing the rigor of safety rule formalization, making him a key figure in the push toward intelligent, autonomous safety enforcement in the construction industry.
Research Focus
Key Achievements
Top Papers
- 1