Sungha Ju

Yonsei University

Papers

3

Total Citations

43

H-Index

3

About

Sungha Ju is a researcher at the forefront of automated construction monitoring and robotic scanning. His work focuses on integrating advanced mobile robotics with terrestrial laser scanning to revolutionize how we capture and process spatial data on construction sites. Ju’s major contributions include developing a BIM-based scan planning framework that enables quadruped walking robots to autonomously navigate and scan complex environments, ensuring full coverage and efficiency—a paper that has garnered 32 citations for its practical impact. He also advanced point cloud registration with an automated approach optimized for stop-and-go scanning systems, significantly reducing manual post-processing efforts. Additionally, Ju co-developed a framework for mapping and detecting changes in repeatedly collected massive point clouds, a critical tool for tracking construction progress and quality control. With over 40 total citations, his work is shaping the future of intelligent construction, bridging the gap between robotics, building information modeling, and geospatial data analysis. Ju’s research is essential reading for students and engineers aiming to automate and enhance accuracy in modern construction workflows.

Research Focus

Key Achievements

3
H-Index
3
Papers
43
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
BIM-based scan planning for scanning with a quadruped walking robot
32 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Yonsei University

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago