TY - GEN
T1 - Digital Twin Applications in Unmanned Surface Vehicles
T2 - 6th International Conference on Software Engineering and Computer Science, CSECS 2023
AU - Peng, Zitian
AU - Yue, Yong
AU - Zhu, Xiaohui
AU - Huang, Mengjie
AU - Wong, Prudence
AU - Yao, Shangliang
AU - Li, Zhuoxiao
AU - Hou, Dongkun
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Water resources have spurred the need for advanced maritime technologies, particularly for effective exploration and harnessing. Traditional maritime resource investigation methodologies are hampered by challenges such as elevated costs and risks. Unmanned Surface Vehicles (USVs) have emerged as a transformative solution, offering applications previously unattainable or challenging with conventional ships. An essential element in enhancing the capabilities of USVs is the incorporation of 'Digital Twin' (DT) technology, a digital representation mirroring a system's real-world attributes and behaviours. While DT's application has gained traction in other sectors, notably in autonomous vehicles and unmanned aerial vehicles, a focused exploration of its integration in USVs remains sparse. This paper bridges this gap by offering a comprehensive survey of DT within the context of USVs. We review prevailing DT methodologies, delve into multifaceted perspectives surrounding DT-including definitions, classifications and key features, and highlight the prospective directions and challenges for its future application in USVs. Through this study, we underscore the potential of DT in enhancing the capabilities, productivity, and sustainability of USVs in complex maritime environments.
AB - Water resources have spurred the need for advanced maritime technologies, particularly for effective exploration and harnessing. Traditional maritime resource investigation methodologies are hampered by challenges such as elevated costs and risks. Unmanned Surface Vehicles (USVs) have emerged as a transformative solution, offering applications previously unattainable or challenging with conventional ships. An essential element in enhancing the capabilities of USVs is the incorporation of 'Digital Twin' (DT) technology, a digital representation mirroring a system's real-world attributes and behaviours. While DT's application has gained traction in other sectors, notably in autonomous vehicles and unmanned aerial vehicles, a focused exploration of its integration in USVs remains sparse. This paper bridges this gap by offering a comprehensive survey of DT within the context of USVs. We review prevailing DT methodologies, delve into multifaceted perspectives surrounding DT-including definitions, classifications and key features, and highlight the prospective directions and challenges for its future application in USVs. Through this study, we underscore the potential of DT in enhancing the capabilities, productivity, and sustainability of USVs in complex maritime environments.
KW - Digital twin
KW - immersive realities
KW - physical and environmental simulation
KW - Unmanned surface vehicle
UR - http://www.scopus.com/inward/record.url?scp=85186763689&partnerID=8YFLogxK
U2 - 10.1109/CSECS60003.2023.10428344
DO - 10.1109/CSECS60003.2023.10428344
M3 - Conference Proceeding
AN - SCOPUS:85186763689
T3 - 2023 6th International Conference on Software Engineering and Computer Science, CSECS 2023
BT - 2023 6th International Conference on Software Engineering and Computer Science, CSECS 2023
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 22 December 2023 through 24 December 2023
ER -