1. Juhyeon Kim, Jeehoon Kim, Yulin Lian, and Hyoungkwan Kim (2025). “Point Cloud-Based Defect Inspection with Multi-Sensor Fusion and Deep Learning for Advancing Building Construction Quality” Journal of Computing in Civil Engineering, 39(3), 04025022.
2. Sunwoong Paik, Juhyeon Kim, Yohan Kim, and Hyoungkwan Kim (2025). “Superpoint Transformer-based Bridge Component Recognition using UAV-mounted LiDAR and Synthetic Point Cloud Generation Safety Analysis and Localization of Scaffold Joints Using UAV-Acquired Images” Journal of Construction Engineering and Management, 151(12), 04025194.
3. Yohan Kim, Jeehoon Kim, Juhyeon Kim, and Hyoungkwan Kim (2025). “Superpoint Transformer-based Bridge Component Recognition using UAV-mounted LiDAR and Synthetic Point Cloud Generation” Journal of Computing in Civil Engineering, 39(4), 04025043.
4. Duho Chung, Juhyeon Kim, Sunwoong Paik, and Hyoungkwan Kim (2025). “Automated system of scaffold point cloud data acquisition using a robot dog” Automation in Construction, 170, 105944. ✽ No.1 JCR-ranked journal in the field of Civil Engineering
5. Sunwoong Paik, Juhyeon Kim, Yohan Kim, and Hyoungkwan Kim (2025). “Safety Analysis and Localization of Scaffold Joints Using UAV-Acquired” Journal of Construction Engineering and Management, (Accepted).
6. Juhyeon Kim, Jeehoon Kim, Sunwoong Paik, and Hyoungkwan Kim (2024). “Point cloud registration considering safety nets during scaffold installation using sensor fusion and deep learning” Automation in Construction, 159, 105277. ✽ No.1 JCR-ranked journal in the field of Civil Engineering
7. Jeehoon Kim, Juhyeon Kim, Nahye Koo, and Hyoungkwan Kim (2024). “Automating scaffold safety inspections using semantic analysis of 3D point clouds” Automation in Construction, 166, 105603. ✽ No.1 JCR-ranked journal in the field of Civil Engineering
8. Juhyeon Kim, Jeehoon Kim, Yohan Kim, and Hyoungkwan Kim (2023). “3D reconstruction of large-scale scaffolds with synthetic data generation and an upsampling adversarial network” Automation in Construction, 156, 105108. ✽ No.1 JCR-ranked journal in the field of Civil Engineering
9. Juhyeon Kim, Duho Chung, Yohan Kim, and Hyoungkwan Kim (2022). “Deep learning-based 3D reconstruction of scaffolds using a robot dog” Automation in Construction, 134, 104092. ✽ No.1 JCR-ranked journal in the field of Civil Engineering
International Conference Papers
1. Juhyeon Kim, Duho Chung, Jeehoon Kim, and Hyoungkwan Kim (2025). “Integrated Framework for Scaffold Monitoring: From Point Cloud Acquisition to Safety Verification” In Proceedings of the 42th International Symposium on Automation and Robotics in Construction (ISARC 2025), Montreal, Canada.
2. Sean Murphy, Chih-Shen Cheng, Juhyeon Kim, and Fernanda Leite (2025). “Enhancing resilience to coastal hazards: an analysis of resources, tools, and processes to improve land use decision-making in the United States” ASCE Construction Research Congress (CRC 2025), Montreal, Canada.
3. Juhyeon Kim, Jeehoon Kim, Yulin Lian, and Hyoungkwan Kim (2024). “Automated Defect Inspection in Building Construction with Multi-Sensor Fusion and Deep Learning” In Proceedings of the 41th International Symposium on Automation and Robotics in Construction (ISARC 2024), Lille, France.
4. Juhyeon Kim, Jeehoon Kim, Sunwoong Paik, and Hyoungkwan Kim (2023). “Sensor Fusion-based Point Clouds Registration Considering Safety Net During Scaffold Installation” ASCE International Conference on Computing in Civil Engineering 2023 (i3CE 2023), Oregon, USA.
5. Jeehoon Kim, Sunwoong Paik, Yulin Lian, Juhyeon Kim, and Hyoungkwan Kim (2023). “Transformation of Point Clouds to Images for Safety Analysis of Scaffold Joints” In Proceedings of the 40th International Symposium on Automation and Robotics in Construction (ISARC 2023), Chennai, India.
6. Juhyeon Kim, Jeehoon Kim, Yohan Kim, and Hyoungkwan Kim (2022). “Large-scale Scaffold Point Cloud Data Analysis Framework Using Synthetic Data Augmentation and an Upsampling Adversarial Network” In Proceedings of the 22nd International Conference on Construction Applications of Virtual Reality (CONVR 2022), Seoul, Korea.
7. Nahye Koo, Juhyeon Kim, Sunwoong Paik, and Hyoungkwan Kim (2022). “One-stage Instance Segmentation of Scaffold Elements in UAV Acquired Images for Safety Monitoring” In Proceedings of the 22nd International Conference on Construction Applications of Virtual Reality (CONVR 2022), Seoul, Korea.
8. Duho Chung, Sunwoong Paik, Juhyeon Kim, and Hyoungkwan Kim (2022). “Autonomous Operation of a Robot Dog for Point Cloud Data Acquisition of Scaffolds” In Proceedings of the 39th International Symposium on Automation and Robotics in Construction (ISARC 2022), Bogota, Columbia.
9. Jeehoon Kim, Juhyeon Kim, Nahye Koo, and Hyoungkwan Kim (2022). “Automated Checking of Scaffold Safety Regulations using Multi-Class 3D Segmentation” In Proceedings of the 39th International Symposium on Automation and Robotics in Construction (ISARC 2022), Bogota, Columbia.
10. Sunwoong Paik, Juhyeon Kim, Yohan Kim, and Hyoungkwan Kim (2022). “Automated Analysis of Scaffold Joint Installation Status of UAV-Acquired Images” In Proceedings of the 9th International Conference on Construction Engineering and Project Management (ICCEPM 2022), Las Vegas, USA.
11. Juhyeon Kim, DuHo Chung, Yohan Kim, and Hyoungkwan Kim (2021). “Semantic segmentation of 3D point cloud data acquired from robot dog for scaffold monitoring” In Proceedings of the 38th International Symposium on Automation and Robotics in Construction (ISARC 2021). (Virtual)
Domestic Conference Papers
1. Sunwoong Paik, Juhyeon Kim, Yohan Kim, and Hyoungkwan Kim (2024). “Detection, Identification, and Matching of Scaffold Joints Using UAV-Acquired Data” 2024 Korea Institute of Construction Engineering and Management Conference.
2. Yulin Lian, Yohan Kim, Sunwoong Paik, Juhyeon Kim, and Hyoungkwan Kim (2024). “Scaffold Inspection Using UAV Equipped with a LiDAR” 2024 Korean Society of Civil Engineers Conference.
3. Yohan Kim, Jeehoon Kim, Juhyeon Kim, and Hyoungkwan Kim (2023). “3D Semantic Segmentation of Road Bridge Components Using an Unmanned Aerial Vehicle Equipped with Mobile LiDAR” 2023 Korea Institute of Construction Engineering and Management Conference.
Patents
1. Juhyeon Kim, Jeehoon Kim, Sunwoong Paik, and Hyoungkwan Kim (2024). “Sensor Fusion and Deep Learning-Based Point Cloud Registration for 3D Reconstruction of Scaffolds with Safety Net Consideration” Patent Application No. 10-2024-0031724. (in Korea)
2. Sunwoong Paik, Juhyeon Kim, Yohan Kim, and Hyoungkwan Kim (2024). “Safety Status Analysis System and Analysis Method for Scaffolding Joints Using Rule-Based Classified Images” Patent Application No. 10-2024-0055265. (in Korea)
3. Sunwoong Paik, Yohan Kim, Juhyeon Kim, and Hyoungkwan Kim (2024). “System for Generating Safety Status Maps of Scaffolding Joints through Rule-Based Image Classification and Location Estimation” Patent Application No. 10-2024-0055264. (in Korea)
4. Juhyeon Kim, Jeehoon Kim, Yohan Kim, and Hyoungkwan Kim (2023). “3D Modeling System for Temporary Structures Using Synthetic Point Cloud Data and a Generative Adversarial Network” Patent Application No. 10-2023-0097251. (in Korea)
5. Yohan Kim, Jeehoon Kim, Juhyeon Kim, and Hyoungkwan Kim (2023). “Bridge Component Extraction System Using 3D Semantic Segmentation with Mobile LiDAR” Patent Application No. 10-2023-0168808. (in Korea)
6. Jeehoon Kim, Juhyeon Kim, and Hyoungkwan Kim (2022). “Safety Inspection System of Temporary Structures at Construction Sites Using Semantic Segmentation of Point Cloud Data” Patent Application No. 10-2022-0180174. (in Korea)
7. Duho Chung, Juhyeon Kim, Sunwoong Paik, and Hyoungkwan Kim (2022). “Automated System for Collecting Point Cloud Data of Objects at Construction Sites Using a Mobile Robot” Patent Application No. 10-2022-0086022. (in Korea)
8. Juhyeon Kim, Duho Chung and Hyoungkwan Kim (2021). “3D Model Generation Based on Point Cloud Data Acquisition and a Deep Learning Model Using a Mobile Robot” Patent Registration No. 10-2654087. (in Korea)
Software
1. Juhyeon Kim, and Hyoungkwan Kim (2024). “Deep Learning-Based Point Cloud Data Analysis and Automatic Modeling Generation Module Using 3D Patches” Software Registration No. C-2024-041656. (in Korea)
2. Juhyeon Kim, and Hyoungkwan Kim (2023). “Synthetic Point Cloud Data Generation Module for Temporary Structures” Software Registration No. C-2023-043698. (in Korea)
3. Jeehoon Kim, Sunwoong Paik, Yulin Lian, Juhyeon Kim, and Hyoungkwan Kim (2023). “Point Cloud-to-Image Conversion and Image-to-Point Cloud Re-projection Module” Software Registration No. C-2023-043897. (in Korea)
4. Juhyeon Kim, and Hyoungkwan Kim (2021). “Deep Learning-Based 3D Semantic Segmentation Module for Temporary Structures” Software Registration No. C-2021-043278. (in Korea)
5. Juhyeon Kim, and Hyoungkwan Kim (2020). “Temporary Structure Modeling Generation Module” Software Registration No. C-2020-042227-2. (in Korea)
152, Jukjeon-ro, Suji-gu, Yongin-si, Gyeonggi-do 16890, Korea
(KOR : 16890 경기도 용인시 수지구 죽전로 152(죽전동 126))
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Tel : +82-31-8005-3477 |
E-mail : juhyeon.kim@dankook.ac.kr