Minsung Sung - Publications

Peer-Reviewed Journal

[J8] S. Song, M. Sung, and S.-C. Yu, Visual SLAM-Based 3D Path Planning Method of UUV for Enhancement of 3D Reconstruction using Photogrammetry, International Journal of Control, Automation and Systems (Under Review).
[J7] S. Rho, H. Joe, M. Sung, S. Kim, and S.-C. Yu, Multi Sonar Fusion-based Underwater 3D Reconstruction Robust to Encountered Yaw Angle of the AUV, IEEE Access, 13, 35157-35173, 2025 (IF: 3.4). [Link]
[J6] J. Kim, T. Kim, S. Song, M. Sung, and S.-C. Yu, Parent-child Underwater Robot-based Manipulation System for Underwater Structure Maintenance, Control Engineering Practice, 134, 105459, 2023 (IF:5.4). [Link]
[J5] H. Joe, H. Cho, M. Sung, J. Kim, and S.-C. Yu, Sensor Fusion of Two Sonar Devices for Underwater 3D Mapping with an AUV, Autonomous Robots, 45, 543-560, 2021 (IF: 3.7). [Link]
[J4] M. Sung, J. Kim, H. Cho, M. Lee, and S.-C. Yu, Underwater-Sonar-Image-Based 3D Point Cloud Reconstruction for High Data Utilization and Object Classification Using a Neural Network, Electronics, 9(11), 1763, 2020 (IF: 2.6). [Link]
[J3] M. Sung, J. Kim, M. Lee, B. Kim, T. Kim, J. Kim, and S.-C. Yu, Realistic Sonar Image Simulation Using Deep Learning for Underwater Object Detection, International Journal of Control, Automation and Systems, 18, 523-534, 2020 (IF: 2.5). [Link]
[J2] M. Sung, H. Cho, T. Kim, H. Joe, and S.-C. Yu, Crosstalk Removal in Forward Scan Sonar Image Using Deep Learning for Object Detection, IEEE Sensors Journal, 19(21), 9929-9944, 2019 (IF: 4.3). [Link]
[J1] M. Sung and S.-C. Yu, Sonar-based Yaw Estimation of Target Object Using Shape Prediction on Viewing Angle Variation with Neural Network, Ocean Systems Engineering, 10(4), 435-449, 2020. [Link]

Domestic Journal

[D1] M. Sung, and S.-C. Yu, State-of-the-art Technologies of Underwater/Deep-sea Robots, Korea Robotics Society Review, 20(1), 28-36, 2023. [Link]

International Conference

[C29] N. Matsuhira, M. Sandison, M. Sung, K. Groves, Si. Watson, S.-C Yu, T. Sasaki, S. Nakashima, A. Yamashita, and H. Asama, Development of a remotely operated robot system for movement in narrow areas based on workspace characteristics, 2025 IEEE/SICE International Symposium on System Integration (SII2025), Munich, Germany, Feb. 2025. [Link]
[C28] M. Sung, M. Sandison, N. Matsuhira, S.-C Yu, and H. Asama, Hybrid Tele-Operation Framework for Multi-Robot Coordination in Hazardous Environments, International Topical Workshop on Fukushima-Daiichi Decommissioning Research 2024 (FDR2024), Fukusima, Japan, Oct. 2024. [Link]
[C27] M. Sung, Y. Song, and S.-C. Yu, Underwater Object Detection Method for Imaging Sonar Through Beam-slice-based Segmentation, OCEANS 2024, Singapore, Apr. 2024. [Link]
[C26] M. Sung, Y. Song, S. Rho, S. Song, and S.-C. Yu, Development of an In-situ Underwater Microscope Using Flow-blocking Mechanism for Robust Plankton Observation, The 23rd International Conference on Control, Automation and Systems (ICCAS2023), Yeosu, Korea, Oct. 2023. [Link]
[C25] M. Sung, Y. Song, and S.-C. Yu, Seabed Object’s Height Estimation Method Utilizing Tilt Angle Changes of Imaging Sonar, 2023 IEEE Underwater Technology (UT23), Tokyo, Japan, Mar. 2023. [Link]
[C24] M. Sung, Y. Song, and S.-C. Yu, Underwater Object Detection of AUV based on Sonar Simulator utilizing Noise Addition, 2022 IEEE/OES Autonomous Underwater Vehicle symposium (AUV2022), Singapore, Sep. 2022. [Link]
[C23] M. Sung, and S.-C. Yu, Sonar Image Generation from Underwater Optical Images utilizing Sensor Model and Depth Estimation with Neural Network, Global Oceans 2021: SanDiego-Porto, USA, Oct. 2021. [Link]
[C22] J. Kim, S. Song, M. Sung, and S.-C. Yu, Line Laser mounted Small Agent ROV based 3D Reconstruction Method for Precision Underwater Manipulation, Global Oceans 2021: SanDiego-Porto, USA, Oct. 2021. [Link]
[C21] M. Sung, S. Rho, Y. Song, and S.-C. Yu, Development of Remote Underwater Monitoring System for Image Acquisition and Fish Detection using Neural Network, The 21st International Conference on Control, Automation, and Systems (ICCAS 2021), Jeju, Korea, Oct. 2021.
[C20] M. Sung, S. Rho, Y. Song, and S.-C. Yu, Real-time Wireless Underwater Monitoring System and Neural Network Towards Smart Management of Offshore Fish Farms, Conference on the Future Technology of Fisheries Science, Busan, Korea, Apr. 2021. [Link]
[C19] T. Kim, M. Sung, S. Rho, and S.-C. Yu, On-site monitoring and safety support system for HAENYEO’s (Korean traditional women fishery diver) field works, Conference on the Future Technology of Fisheries Science, Busan, Korea, Apr. 2021. [Link]
[C18] M. Sung, H. Cho, T. Kim, and S.-C. Yu, Crosstalk Removal in Forward Scan Sonar Image Using Deep Learning for Object Detection, 2021 IEEE Underwater Technology (UT21), Online, Mar. 2021. [Video]
[C17] B. Kim, M. Sung, M. Lee, H. Cho, and S.-C. Yu, Imaging Sonar based AUV Localization and 3D Mapping using Image Sequences, Global Oceans 2020: Singapore–US Gulf Coast, Biloxi, MS, USA, Oct. 2020. [Link]
[C16] M. Sung, M. Lee, B. Kim, and S.-C. Yu, Imaging-sonar-based Object Recognition Utilizing Object’s Yaw Angle Estimation with Deep Learning Technique, 21st IFAC World Congress (IFAC-V 2020), Berlin, Germany, Jul. 2020. [Link]
[C15] M. Sung, M. Lee, J. Kim, S. Song, Y. Song, and S.-C. Yu, Convolutional-Neural-Network-based Underwater Object Detection Using Sonar Image Simulator with Randomized Degradation, OCEANS 2019 MTS/IEEE Seattle, Seattle, USA, Oct. 2019. [Link]
[C14] M. Sung, J. Kim, J. Kim, and S.-C. Yu, Realistic Sonar Image Simulation Using Generative Adversarial Network, 12th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles (CAMS 2019), Daejeon, Korea, Sep. 2019. [Link]
[C13] M. Sung, H. Cho, J. Kim, and S.-C. Yu, Sonar Image Translation Using Generative Adversarial Network for Underwater Object Recognition, 2019 IEEE Underwater Technology (UT19), Kaohsiung, Taiwan, Apr. 2019. [Link]
[C12] M. Sung, and S.-C. Yu, Balloon AUV: Seawater Sampling AUV Using Active Buoyancy Control, 2018 IEEE/OES Autonomous Underwater Vehicle Symposium (AUV2018), Porto, Portugal, Nov. 2018. [Link] — received the 2nd Place, Student Poster Award
[C11] S. Song, T. Kim, M. Sung, and S.-C. Yu, Attitude Control of AUV Using Multiple Buoyancy Engines for Exploration and Water Column Profiling, 2018 IEEE/OES Autonomous Underwater Vehicle Symposium (AUV2018), Porto, Portugal, Nov. 2018. [Link]
[C10] B. Kim, J. Kim, M. Lee, M. Sung, and S.-C. Yu, Active Planning of AUVs for 3D Reconstruction of Underwater Object Using Imaging Sonar, 2018 IEEE/OES Autonomous Underwater Vehicle Symposium (AUV2018), Porto, Portugal, Nov. 2018. [Link]
[C9] M. Sung, J. Kim, and S.-C. Yu, Image-based Super Resolution of Underwater Sonar Images Using Generative Adversarial Network, 2018 IEEE Region 10 Conference (TENCON 2018), Jeju, Korea, Oct. 2018. [Link]
[C8] M. Sung, H. Cho, H. Joe, B. Kim, and S.-C. Yu, Crosstalk Noise Detection and Removal in Multi-beam Sonar Images Using Convolutional Neural Network, OCEANS 2018 MTS/IEEE Charleston, Charleston, USA, Oct. 2018. [Link]
[C7] J. Kim, M. Sung, and S.-C. Yu, Development of Simulator for Autonomous Underwater Vehicles Utilizing Underwater Acoustic and Optical Sensing Emulators, 2018 18th International Conference on Control, Automation and Systems (ICCAS 2018), Daegwallyeong, Korea, Oct. 2018. [Link]
[C6] M. Sung, H. Joe, J. Kim, and S.-C. Yu, Convolutional-Neural-Network-based Resolution Enhancement of Underwater Sonar Image without Losing Working Range of Sonar Sensors, 2018 OCEANS-MTS/IEEE Kobe Techno-Oceans (OTO), Kobe, Japan, May. 2018. [Link]
[C5] J. Kim, S. Song, M. Sung, and S.-C. Yu, Development of Manipulation Purpose Small Agent Vehicle for UUVs, 2018 OCEANS-MTS/IEEE Kobe Techno-Oceans (OTO), Kobe, Japan, May. 2018. [Link]
[C4] M. Sung, Y. Girdhar, and S.-C. Yu, Vision-Based Real-time Fish Detection Using Convolutional Neural Network, OCEANS 2017 MTS/IEEE Aberdeen, Aberdeen, UK, Jun. 2017. [Link] — received the Student Poster Award
[C3] H. Roh, M. Sung, and S.-C. Yu, System Identification of Hovering Type AUV Using Kinematic-model-based Neural Network, 2017 IEEE Underwater Technology (UT17), Busan, Korea, Feb. 2017. [Link]
[C2] M. Sung, and S.-C. Yu, Mini-ROV-based Anchoring AUV System: TreeBot AUV, 2016 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV2016), Tokyo, Japan, Nov. 2016. [Link] — received the Student Poster Award
[C1] H. Roh, H. Joe, S. Song, M. Sung, and S.-C. Yu, Hydrodynamic Modeling and Optimization of Mobile Wave Energy Harvesting System for the Robotic Buoy, OCEANS 2016 MTS/IEEE Monterey, Monterey, US, Sep. 2016. [Link]

Domestic Conference

[DC11] M. Sung, and S.-C. Yu, Localization of Autonomous Underwater Vehicle through Frequency Analysis of Underwater Sonar Images, The 19th Korea Robotics Society Annual Conference (KRoC 2024), Pyeongchang, Korea, Feb. 2024.
[DC10] M. Sung, Young-woon Song, Jason Kim, and S.-C. Yu, High Reliability Underwater Image Sonar Simulator based Learning Method for Object Recognition Using AUV, The 18th Korea Robotics Society Annual Conference (KRoC 2023), Pyeongchang, Korea, Feb. 2023.
[DC9] M. Sung, and S.-C. Yu, Underwater Sonar Image Generation Method from Terrestrial Scene utilizing Optic and Sonar Sensor Models, 2022 The 37th ICROS Annual Conference (ICROS 2022), Geoje, Korea, June. 2022.
[DC8] M. Sung, J. Kim, and S.-C. Yu, Sonar-based Underwater Object Detection utilizing Highly Reliable Training Data Simulation Method, The 17th Korea Robotics Society Annual Conference (KRoC 2022), Pyeongchang, Korea, May. 2022.
[DC7] M. Sung, S. Rho, Y. Song, and S.-C. Yu, Development of a wireless underwater system and Neural Network for real-time monitoring of coastal fish farms, The 16th Korea Robotics Society Annual Conference (KRoC 2021), Pyeongchang, Korea, May. 2021.
[DC6] M. Sung and S.-C. Yu, Realistic Sonar Image Simulation Using Generative Adversarial Network and Its Application to Underwater Object Detection, 2020 Fall Korean Marine Robot Technology Society, Pohang, Korea, Oct. 2020.
[DC5] M. Sung and S.-C. Yu, Vision-based Real Time Fish Detection in Gyeongbuk Coast Using Deep Learning, 2020 The Korean Society of Fisheries and Aquatic Science Conference, Jinju, Korea, Jul. 2020. — received the Best Oral Presentation Award
[DC4] H. Joe, M. Sung, S. Rho, Y. Song and S.-C. Yu, Development of mid-range wireless underwater camera system for smart aqua farming in Gyeongbuk coastal area, 2020 The Korean Society of Fisheries and Aquatic Science Conference, Jinju, Korea, Jul. 2020.
[DC3] M. Sung, H. Cho, and S.-C. Yu, Crosstalk Removal in Forward Scan Sonar Image Using Convolutional Neural Network, 2019 Spring Korean Marine Robot Technology Society, Seoul, Korea, May. 2019.
[DC2] J. Kim, M. Sung, B. Kim, and S.-C. Yu, Development of simulator for autonomous underwater vehicle utilizing acoustic sensing emulator, 2018 Fall Korean Marine Robot Technology Society, Jinhae, Korea, Nov. 2018.
[DC1] M. Sung and S.-C. Yu, Vision based real-time fish detection using convolutional neural network, 2017 Fall Korean Marine Robot Technology Society, Pohang, Korea, Nov. 2017.

PCT Patents

[PCT1] J. Kim, S.-C. Yu, B. Kim, J. Kim, M. Sung, M. Lee, Y. Song, Method and System for Obtaining 3D Acoustic Volume Model for Underwater Objects, PCT Patent: PCT/KR2021/015604.

Domestic Patents

[P25] J. Kim, S.-C. Yu, T. Kim, S. Song, Y. Song, J. Kim, M. Sung, A Method for Correcting Position Information of an Underwater Robot Capable of 3D Scanning of an Object Underwater, Patent Grant: 10-2604252.
[P24] S.-C. Yu, S. Song, Y. Song, S. Rho, M. Sung, Retractable Apparatus for Observing Underwater, Patent Grant: 10-2587548.
[P23] J. Kim, S.-C. Yu, T. Kim, S. Song, Y. Song, J. Kim, M. Sung, A Method for Controlling an Underwater Robot Capable of 3D Scanning of an Object Underwater, Patent Grant: 10-2581442.
[P22] S.-C. Yu, J. Pyo, T. Kim, M. Sung, Apparatus for Observing Underwater, Patent Grant: 10-2552692.
[P21] S.-C. Yu, M. Sung, H. Cho, Device and Method for Measuring Water Quality of Water Tank Type Farm, Patent Grant: 10-2547425. — licensed for technology transfer
[P20] S.-C. Yu, Y. Song, J. Kim, M. Sung, Sonar Image Simulator Device and Underwater Object Detection Device, Patent Grant: 10-2516795.
[P19] J. Kim, S.-C. Yu, B. Kim, J. Kim, M. Sung, M. Lee, Y. Song, Method and System for Obtaining 3D Acoustic Volume Model for Underwater Objects, Patent Grant: 10-2456516.
[P18] J. Kim, S.-C. Yu, B. Kim, J. Kim, M. Sung, M. Lee, Y. Song, Method and System for Obtaining 3D Optical Volume Model for Underwater Objects, Patent Grant: 10-2456515.
[P17] S.-C. Yu, S. Rho, H. Joe, B. Kim, M. Sung, Y. Song, System for Monitoring Aquafarm, Patent Grant: 10-2383320. — licensed for technology transfer
[P16] S.-C. Yu, T. Kim, J. Kim, M. Sung, Y. Song, S. Rho, M. Lee, Safety Management System for Underwater Worker and Safety Management Method using the Same, Patent Grant: 10-2348012.
[P15] H. Joe, S.-C. Yu, J. Kim, M. Sung, M. Lee, T. Kim, 3D Modeling Method for Undersea Topography, Patent Grant: 10-2186733.
[P14] S.-C. Yu, J. Pyo, H. Joe, J. Kim, B. Kim, S. Song, M. Sung, H. Cho, Inspection Method Using Unmanned Underwater Vehicle for Submerged Floating Tunnel, Patent Grant: 10-2099904.
[P13] S.-C. Yu, J. Pyo, H. Joe, B. Kim, S. Song, M. Sung, J. Kim, H. Cho, Underwater Monitoring System and VR Image Providing Method for Underwater Monitoring, Patent Grant: 10-2095009.
[P12] S.-C. Yu, J. Pyo, H. Joe, J. Kim, B. Kim, M. Sung, S. Song, H. Cho, Method and Underwater Robot for Reconstruction of Three-Dimensional Shape of Underwater Object using Sonar Image Data, Patent Grant: 10-2074182.
[P11] S.-C. Yu, J. Pyo, H. Joe, B. Kim, M. Sung, S. Song, J. Kim, H. Cho, Underwater Navigation Method and System for Underwater Vehicle, Patent Grant: 10-2064257.
[P10] S.-C. Yu, H. Cho, M. Sung, S. Song, H. Joe, J. Pyo, B. Kim, J. Kim, Washing Apparatus for Raising Tank, Patent Grant: 10-1979833.
[P9] S.-C. Yu, H. Cho, M. Sung, S. Song, H. Joe, J. Pyo, B. Kim, J. Kim, Washing and Feeding Apparatus for Raising Tank, Patent Grant: 10-1977096.
[P8] S.-C. Yu, H. Cho, J. Pyo, B. Kim, H. Joe, J, Kim, M. Sung, S. Song, Object Appearance Detection Method using Multi-beam Sonar Camera, Patent Grant: 10-1952291.
[P7] S.-C. Yu, H. Cho, B. Kim, J. Pyo, H. Joe, J. Kim, S. Song, M. Sung, 3D Spatial Data Acquisition Method Using Multi-beam Sonar Camera, Patent Grant: 10-1952290.
[P6] B. Kim, S.-C. Yu, H. Cho, J. Pyo, H. Joe, J. Kim, M. Sung, Underwater Image Processing Device for Trajectory Backtracking and Method There of, Patent Grant: 10-1882319.
[P5] S. Song, J. Pyo, H. Joe, J. Kim, B. Kim, H. Rho, M. Sung, S.-C. Yu, Opening and Closing Apparatus for Underwater Laser Using Pressure Difference, Patent Grant: 10-1854634.
[P4] S. Song, J. Pyo, H. Joe, J. Kim, B. Kim, H. Rho, M. Sung, S.-C. Yu, Opening and Closing Apparatus of a Laser Beam for Exploring Underwater using Buoyancy, Patent Grant: 10-1854635.
[P3] H. Rho, H. Joe, B. Kim, S. Song, M. Sung, S.-C. Yu, Apparatus for Sampling in the Underwater, Patent Grant: 10-1835703.
[P2] J. Kim, S.-C. Yu, H. Cho, J. Pyo, B. Kim, M. Sung, Underwater Image Processing Device for Object Recognition and Method There of, Patent Grant: 10-1781757.
[P1] M. Sung, A Bicycle Bell, Published Patent Application: 10-2019-0065756.

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