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Assefinew Wondosen, Yisak Debele, Seung-Ki Kim, Ha-Young Shi, Bedada Endale and Beom-Soo Kang
In various applications, the extended Kalman filter (EKF) has been vital in estimating a vehicle?s translational and angular motion in 3-dimensional (3D) space. It is also essential for the fusion of data from multiple sensors. However, for the EKF to pe...
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Yu Tong, Haoyun Zhou, Zhao Wu, Qifu Li and Bei Lu
To migrate Loss of Control In-flight, the number one cause of aviation fatalities, pilots need to undergo upset prevention and recovery training with flight simulators. The fidelity of a moving base flight simulator is greatly dependent on the washout al...
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Min-Kyu Kim, Jong-Hwa Kim and Hyun Yang
In this study, basic research was conducted regarding the era of autonomous vessels and artificial intelligence (deep learning, big data, etc.). When a vessel is navigating autonomously, it must determine the optimal route by itself and accurately follow...
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Zhipeng Du, Qinan Chen, Cong Guan and Hui Chen
Advances in power and propulsion and energy management improvements can significantly contribute to reducing emissions. The International Maritime Organization (IMO) Marpol regulations impose increasingly stringent restrictions on ship?s emission. Accord...
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Qianlong Jin, Yu Tian, Weicong Zhan, Qiming Sang, Jiancheng Yu and Xiaohui Wang
Efficiently predicting high-resolution and accurate flow fields through networked autonomous marine vehicles (AMVs) is crucial for diverse applications. Nonetheless, a research gap exists in the seamless integration of data-driven flow modeling, real-tim...
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