Zobrazeno 1 - 10
of 758
pro vyhledávání: '"COLREGS"'
Autor:
HU Zhengyang, WANG Yong
Publikováno v:
Zhihui kongzhi yu fangzhen, Vol 46, Iss 5, Pp 37-44 (2024)
This research addresses the crucial problem of collision avoidance decision making for autonomous ships under diverse encounter situations. Building upon the Deep Deterministic Policy Gradient (DDPG) algorithm, appropriate reward functions based on t
Externí odkaz:
https://doaj.org/article/da6e201d345345e9ab63214c61685904
Publikováno v:
Zhongguo Jianchuan Yanjiu, Vol 19, Iss 4, Pp 227-240 (2024)
ObjectiveA local dynamic collision avoidance algorithm based on an improved fast-marching square (IFMS) method is proposed to solve the multi-vessel collision avoidance problem of unmanned sailboats in open water. MethodsConsidering the uncontrollabl
Externí odkaz:
https://doaj.org/article/2346fd604bba49e1be5b954f4270c5e1
Akademický článek
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Akademický článek
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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:
Burak Alptekin, Nihan Kahraman
Publikováno v:
IEEE Access, Vol 12, Pp 89763-89775 (2024)
This article presents an innovative approach to maritime collision avoidance, featuring a redesigned tabu search algorithm that creates effective solutions across various sea regions by incorporating COLREG, regional rules, ship capability, and good
Externí odkaz:
https://doaj.org/article/4f956373b4cc4fb2875750c92a2d3e7b
Publikováno v:
Drones, Vol 8, Iss 11, p 620 (2024)
Unmanned Surface Vehicles (USVs) operating in complex traffic conditions in island reef waters often require different types of algorithms. Therefore, selecting a dynamic path-planning algorithm with strong adaptability has become a new challenge. Th
Externí odkaz:
https://doaj.org/article/b7b576d44df94ca8b0b4eaeead21a4a4
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 9, p 1562 (2024)
Decision-making for collision avoidance in complex maritime environments is a critical technology in the field of autonomous ship navigation. However, existing collision avoidance decision algorithms still suffer from unstable strategy exploration an
Externí odkaz:
https://doaj.org/article/37387eed67f34eec8e2cfff5a5941f9e
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 8, p 1428 (2024)
The study presents an optimized Unmanned Surface Vehicle (USV) collision avoidance decision-making strategy in restricted waters based on the improved Proximal Policy Optimization (PPO) algorithm. This approach effectively integrates the ship domain,
Externí odkaz:
https://doaj.org/article/57fe3c5171424461a181e0b636533158
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 8, p 1268 (2024)
Path planning is one of the core issues in the autonomous navigation of an Unmanned Surface Vehicle (USV), as the accuracy of the results directly affects the safety of the USV. Hence, this paper proposes a USV path planning algorithm that integrates
Externí odkaz:
https://doaj.org/article/be50bb77b79d48059ab89853a32053f7