[HTML][HTML] Digital twin of a city: Review of technology serving city needs

VV Lehtola, M Koeva, SO Elberink, P Raposo… - International Journal of …, 2022 - Elsevier
Digital twins (DTs) have been found useful in manufacturing, construction, and maintenance.
Adapting DTs to serve cities, the question arises of what an urban digital twin should contain …

Human–machine cooperation research for navigation of maritime autonomous surface ships: A review and consideration

C Liu, X Chu, W Wu, S Li, Z He, M Zheng, H Zhou… - Ocean Engineering, 2022 - Elsevier
Abstract Maritime Autonomous Surface Ships (MASS) have obtained much attention in
recent years. Navigation with human–machine cooperation is the core for L1–L3 MASS. In …

[HTML][HTML] Multi-scale collision risk estimation for maritime traffic in complex port waters

X Xin, K Liu, S Loughney, J Wang, H Li, N Ekere… - Reliability Engineering & …, 2023 - Elsevier
Ship collision risk estimation is an essential component of intelligent maritime surveillance
systems. Traditional risk estimation approaches, which can only analyze traffic risk in one …

Application of laser systems for detection and ranging in the modern road transportation and maritime sector

N Lopac, I Jurdana, A Brnelić, T Krljan - Sensors, 2022 - mdpi.com
The development of light detection and ranging (lidar) technology began in the 1960s,
following the invention of the laser, which represents the central component of this system …

[HTML][HTML] The impact of shipping 4.0 on controlling shipping accidents: A systematic literature review

A Sepehri, HR Vandchali, AW Siddiqui, J Montewka - Ocean engineering, 2022 - Elsevier
Maritime shipping, with a significant role in global trade, confronts various accidents leading
to loss of lives, properties, and the environment. Shipping 4.0 technologies are scaling up to …

Survey of deep learning for autonomous surface vehicles in marine environments

Y Qiao, J Yin, W Wang, F Duarte… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Within the next several years, there will be a high level of autonomous technology that will
be available for widespread use, which will reduce labor costs, increase safety, save energy …

Intelligent edge-enabled efficient multi-source data fusion for autonomous surface vehicles in maritime internet of things

RW Liu, Y Guo, J Nie, Q Hu, Z Xiong… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
With the rapid development of low-end Internet of Things (IoT) devices and shipborne
sensors, efficient multi-source data fusion methods for autonomous surface vehicles (ASVs) …

SeaBil: Self-attention-weighted ultrashort-term deep learning prediction of ship maneuvering motion

N Wang, X Kong, B Ren, L Hao, B Han - Ocean Engineering, 2023 - Elsevier
Accurate prediction of motion dynamics fundamentally promotes the autonomy of intelligent
ships, but faces great challenges in modeling mechanism. In this paper, to establish data …

Artificial-delay adaptive control for underactuated Euler–Lagrange robotics

S Roy, S Baldi, P Li… - … /ASME Transactions on …, 2021 - ieeexplore.ieee.org
Artificial-delay control is a method in which state and input measurements collected at an
immediate past time instant (ie, artificially delayed) are used to compensate the uncertain …

A variate brain tumor segmentation, optimization, and recognition framework

HM Balaha, AES Hassan - Artificial Intelligence Review, 2023 - Springer
The detection and brain tumor (BT) segmentation and classification are mandatory steps
before any radiotherapy or surgery. When performed manually, segmentation is time …