Results 11 to 20 of about 2,336 (176)
Abstract Maritime Autonomous Surface Ships (MASS) currently have no formal regulations developed specifically for their operation, as their regulatory framework is still under development. Rasmussen's Risk Management Framework has been used to develop an actor map of the current MASS system in the UK, to show who the actors, decision‐makers, and ...
Kirsty M. Lynch +5 more
wiley +1 more source
A novel real‐time collision avoidance method for autonomous ships based on modified velocity obstacle (VO) algorithm and grey cloud model is proposed. A typical VO algorithm is used to judge whether there is a collision risk for ships in the potential collision area (PCA).
Ke Zhang +7 more
wiley +1 more source
Study on the Risk Model of the Intelligent Ship Navigation
The perception of risks is a prerequisite for establishing an intelligent ship navigation system based on ship‐shore cooperation. According to the research conclusions on the ship‐shore collaboration, the technical characteristics of the intelligent ship navigation system, and the analysis of the test results of the ship “ZHI FEI” featured with ...
Jianan Luo +4 more
wiley +1 more source
Supervised Reinforcement Learning for ULV Path Planning in Complex Warehouse Environment
The rapid development of the logistics industry leads to an urgent need for intelligent equipment to improve warehouse transportation efficiency. Recent advances in unmanned logistics vehicles (ULVs) make them particularly important in smart warehouses.
Shoulin Li, Weiya Guo, Lei Liu
wiley +1 more source
In order to solve the problem that it is difficult to combine path planning with navigation rules in the process of multi‐ship collision avoidance in wide waters, a step‐by‐step multi‐ship collision avoidance path planning algorithm is proposed in this paper.
Canglong Zhao, Jackrit Suthakorn
wiley +1 more source
Compared with open waters, congested inland waters have narrow waterways, many river‐crossing bridges, a high density of navigation, and high current velocity in some sections. In this study, an improved collision avoidance algorithm based on model predictive control (MPC) is proposed to solve the problem of collision avoidance for autonomous surface ...
Wei Yuan, Pengcheng Gao, Yuan Yang
wiley +1 more source
Improved Vessel Trajectory Prediction Model Based on Stacked‐BiGRUs
An intelligent maritime navigation system is expected to play an important role in the realm of Internet of Vessels (IoV). As a key technology in navigation systems, vessel trajectory prediction technology is critical to the IoV. Automatic identification system (AIS), an automated tracking system, is used extensively for vessel trajectory prediction ...
Yang Xu +8 more
wiley +1 more source
[Retracted] Animation Design of Multisensor Data Fusion Based on Optimized AVOD Algorithm
With the development of artificial intelligence, Internet of things, machine learning, and many other technologies, animation design task based on algorithm theory has become a research hotspot in the field. In recent years, perception technology has gradually become the key technology of animation design, and it is also the key research content in the
Li Ding +3 more
wiley +1 more source
Abstract As complex systems, maritime vessels generate and require the utilization of large amounts of data for maximum efficiency. Designing, developing, and deploying these systems in a digital world requires rethinking how people interact and utilize technology throughout all areas of the industry.
Brendan P. Sullivan +6 more
wiley +1 more source
A Novel Adaptive Visual Analytics Framework for Multiship Encounter Identification
The automatic identification of multiship encounter is a vital criterion for ship collision avoidance and intelligent maritime safety surveillance. However, the parameters of ship encounter identification in the existing studies are fixed, and the methods are weak to give an automatic and visual performance in the multiship encounter identification. In
Rong Zhen, Ziqiang Shi, Xinqiang Chen
wiley +1 more source

