| Instant bridge visual inspection using an unmanned aerial vehicle by image capturing and geo-tagging system and deep convolutional neural network MR Saleem, JW Park, JH Lee, HJ Jung, MZ Sarwar Structural Health Monitoring 20 (4), 1760-1777, 2021 | 60 | 2021 |
| Bridge Inspection and condition assessment using Unmanned Aerial Vehicles (UAVs): Major challenges and solutions from a practical perspective HJ Jung Smart Structures and Systems, An International Journal 24 (5), 669-681, 2019 | 44 | 2019 |
| Diagnosis of crack damage on structures based on image processing techniques and R-CNN using unmanned aerial vehicle (UAV) JH Lee, SS Yoon, IH Kim, HJ Jung Sensors and smart structures technologies for civil, mechanical, and …, 2018 | 30 | 2018 |
| A comparative study of bridge inspection and condition assessment between manpower and a UAS IH Kim, S Yoon, JH Lee, S Jung, S Cho, HJ Jung Drones 6 (11), 355, 2022 | 26 | 2022 |
| Three-dimensional image coordinate-based missing region of interest area detection and damage localization for bridge visual inspection using unmanned aerial vehicles S Yoon, GH Gwon, JH Lee, HJ Jung Structural Health Monitoring 20 (4), 1462-1475, 2021 | 25 | 2021 |
| CNN-based image quality classification considering quality degradation in bridge inspection using an unmanned aerial vehicle GH Gwon, JH Lee, IH Kim, HJ Jung IEEE access 11, 22096-22113, 2023 | 21 | 2023 |
| A new image-quality evaluating and enhancing methodology for bridge inspection using an unmanned aerial vehicle JH Lee, S Yoon, B Kim, GH Gwon, IH Kim, HJ Jung Smart Struct. Syst 27 (2), 209-226, 2021 | 19 | 2021 |
| A motion deblurring network for enhancing UAV image quality in bridge inspection JH Lee, GH Gwon, IH Kim, HJ Jung Drones 7 (11), 657, 2023 | 5 | 2023 |
| Image-to-image translation-based structural damage data augmentation for infrastructure inspection using unmanned aerial vehicle GH Gwon, JH Lee, IH Kim, SC Baek, HJ Jung Drones 7 (11), 666, 2023 | 3 | 2023 |
| Study on image quality assessment and processing, damage diagnosis of crack for bridge inspection based on unmanned aerial vehicle JH Lee, SS Yoon, IH Kim, HJ Jung ACEM18/Struct 18, 1-6, 2018 | 2 | 2018 |
| A feasibility study of FOV selection for bridge crack identification and quantification using unmanned aerial vehicle (UAV) JH Lee, SS Yoon, IH Kim, HJ Jung The 4th International Conference on Computation Design in Engineering, 2018 | | 2018 |
| UAV-strategies of bridge inspection and data processing to identify crack damage JH Lee, SS Yoon, HJ Jung The 7th Asia-Pacific Workshop on Structural Health Monitoring, 2018 | | 2018 |
| A Framework for Inspecting Bridges using Unmanned Aircraft Systems JH Lee, SS Yoon, IH Kim, HJ Jung The 14th International Conference on Motion and Vibration Control, 2018 | | 2018 |
| A field application of crack diagnosis and classification technologies based on IPTs and deep-learning using UAV JH Lee, SS Yoon, HJ Jung, IH Kim The World Conference on Structural Control and Monitoring, 2018 | | 2018 |
In-Ho KimAssistant Professor, Civil Eng., Kunsan Univ.ایمیل تأیید شده در kunsan.ac.kr