Jin-Hwan Lee

Instant bridge visual inspection using an unmanned aerial vehicle by image capturing and geo-tagging system and deep convolutional neural network

Jin-Hwan Lee, Hyung-Jo Jung, Muhammad Zohaib Sarwar, 2020 .

Diagnosis of crack damage on structures based on image processing techniques and R-CNN using unmanned aerial vehicle (UAV)

Hyung-Jo Jung, Jin-Hwan Lee, Sung-Sik Yoon, 2018, Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

A Comparative Study of Bridge Inspection and Condition Assessment between Manpower and a UAS

Soojin Cho, In‐Ho Kim, Sungsik Yoon, 2022, Drones.

CNN-Based Image Quality Classification Considering Quality Degradation in Bridge Inspection Using an Unmanned Aerial Vehicle

In‐Ho Kim, H. Jung, Jin-Hwan Lee, 2023, IEEE Access.

Bridge inspection and condition assessment using unmanned aerial vehicles (UAVs): major challenges and solutions from a practical perspective

Sungsik Yoon, Jin-Hwan Lee, Hyung-Jo Jung, 2019 .

A new image-quality evaluating and enhancing methodology for bridge inspection using an unmanned aerial vehicle

Hyung-Jo Jung, Sungsik Yoon, Gi-Hun Gwon, 2021 .

Feasibility study on an angular velocity-based damage detection method using gyroscopes

J. W. Park, Hyung-Jo Jung, Jongwoong Park, 2014 .