https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/9822 Sun, 03 May 2026 02:43:24 GMT 2026-05-03T02:43:24Z https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/11232 https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/11232 https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/11346 Title: A Simulation-Based Backup Monitoring System for Remote Operation Centers Under Degraded Communication Conditions Authors: Jo, Hyun Jae; Kim, Geonwoo; Yim, Geun tae Tue, 21 Oct 2025 00:00:00 GMT https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/11346 2025-10-21T00:00:00Z https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/11411 Title: Exploring feasibility of UAV-Based Situational Awareness Support for Maritime Autonomous Surface Ships through Scenario-Based Sea Trial Authors: Kim, Dong Eon; Jo, Hyun Jae; Youn, Taejun; Yim, Geun tae Abstract: This study investigates the feasibility of employing unmanned aerial vehicle (UAV) to enhance the situational awareness capabilities of Maritime Autonomous Surface Ships (MASS), thereby improving the reliability of their operations. However, fixed situational awareness sensors on MASS, including cameras, LiDAR, and radar, are subject to inherent physical limitations due to their static installation, reducing their effectiveness in dynamic and complex navigational environments. To address these limitations, data collected from scenario-based real-sea trials were applied in simulations to evaluate the effectiveness of UAV assisted situational awareness. For this purpose, we designed and conducted trials using the sea-trial testbed vessel HaeyangNuri. The representative operational scenario was set in a geographically constrained channel. For the simulation, the vessel’s motion was modeled using the Velocity Obstacle method, and a weighted exponential model, incorporating the distance and time to the closest point of approach (DCPA and TCPA), was developed to quantitatively assess collision risk. The results demonstrated reduced collision risk and improved operational stability when UAV were employed. These findings highlight the potential of UAV to support MASS navigation, and future work will focus on developing a robust MASS？UAV cooperative framework for broad operational applications to further enhance the operational reliability of MASS. Tue, 21 Oct 2025 00:00:00 GMT https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/11411 2025-10-21T00:00:00Z https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/11449 Title: A Study on Ship Encounter Analysis for Environmental Adaptability Assessment of MASS Operations Authors: Lim, Seunghyeon; Jo, Hyun Jae; Yim, Geun tae Tue, 21 Oct 2025 00:00:00 GMT https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/11449 2025-10-21T00:00:00Z