Zobrazeno 1 - 10
of 1 317
pro vyhledávání: '"ship collision"'
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
Offshore wind energy is characterized by its clean and renewable nature, leading to rapid growth in the industry. However, the incidence of ship collisions with offshore wind turbines has also risen with the increasing number of offshore wind farms,
Externí odkaz:
https://doaj.org/article/0839633fab4a460ea7f4d2b518d3cb98
Publikováno v:
한국해양공학회지, Vol 38, Iss 3, Pp 124-136 (2024)
As the number of offshore wind-power installations increases, collision accidents with vessels occur more frequently. This study investigates the risk of collision damage with operating vessels that may occur during the operation of an offshore wind
Externí odkaz:
https://doaj.org/article/7ce18c7f2ff4482eadadcd530f316a24
Publikováno v:
Zhongguo Jianchuan Yanjiu, Vol 19, Iss 1, Pp 238-247 (2024)
ObjectiveThis study investigates the interactive collision avoidance （CA） problem of autonomous and manned ships in mixed navigation scenarios in order to achieve the efficient collision avoidance and safe navigation of ships. To this end, a mult
Externí odkaz:
https://doaj.org/article/8d7198f94b5c407889678608c9329402
Publikováno v:
IEEE Open Journal of Intelligent Transportation Systems, Vol 5, Pp 422-432 (2024)
In this research, we focus on developing an autonomous system for multiship collision avoidance. The proposed approach combines global path planning based on deep reinforcement learning (DRL) and local motion control to improve computational efficien
Externí odkaz:
https://doaj.org/article/738f0f9baccc4d098738efe34eccf784
Autor:
Jianjie Gao, Yuquan Zhang
Publikováno v:
Brodogradnja, Vol 75, Iss 2, Pp 1-16 (2024)
Ship collision avoidance has always been a concern and it is crucial for achieving safe navigation of ships at sea. There are many studies on ship collision avoidance in open water, but less attention on coastal waters considering the uncertainty of
Externí odkaz:
https://doaj.org/article/a82418b9cba049889b823564f8f012a7
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 10, p 1822 (2024)
In multi-vessel collision avoidance decision-making, the collision between merchant and fishing vessels is a significant challenge. This paper proposes a fuzzy fusion method for making avoidance decisions under the influence of the navigation environ
Externí odkaz:
https://doaj.org/article/719c26da1e954f1db4219e6c89819985
Publikováno v:
Elektronika ir Elektrotechnika, Vol 29, Iss 6, Pp 58-67 (2023)
Under the backdrop of the robust growth of the global economy, the water transport industry is experiencing rapid development, resulting in an increase in ship collisions and a critical water traffic safety situation. This study uses text mining tech
Externí odkaz:
https://doaj.org/article/0c1bc312765b4ddbb4a40f948b9d39cb
Autor:
Carmen Gasparotti
Publikováno v:
Annals of "Dunărea de Jos" University of Galaţi: Fascicle XI Shipbuilding, Vol 46, Pp 31-38 (2023)
The aim of this paper is to present the way in which the main risks that can lead to the pollution of the marine environment of the Black Sea can be ranked using multicriteria analysis, based on the AHP process (Analytic Hierarchy Process). This anal
Externí odkaz:
https://doaj.org/article/115a0e362cf84913bf747c399bbffaed
Publikováno v:
水下无人系统学报, Vol 31, Iss 5, Pp 679-686 (2023)
In view of the limitations of traditional artificial potential field collision avoidance path planning in terms of collision avoidance distance and collision avoidance opportunity, a dynamic ship collision avoidance path planning method based on an i
Externí odkaz:
https://doaj.org/article/542246f0893d4cff8d9cd74194dfd296
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 8, p 1311 (2024)
In this research, two distinct designs of protective structures were developed to address structural damage caused by ships impacting the internal structures of floating docks during maintenance operations. The designed protective structures consist
Externí odkaz:
https://doaj.org/article/d043ad11e81346b3b62aeab3ea107f63