Study on Construction of Simulation Platform for Vessel Automatic Anti-collision and Its Test Method

Shuzi, Yang; Li, Lina; Suo, Yongfeng; Chen, Guoquan

doi:10.1109/ical.2007.4338982

Cited by 15 publications

(5 citation statements)

References 2 publications

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“…Furthermore, several studies have been dedicated to the subject of collision avoidance maneuvers based on the following concepts: a clustered group of ships under close-proximity conditions [30]; state, parameter, and action optimization conditions [31]- [34]; safe navigational trajectories/routes selections [35]- [40]; case-based reasoning [41]; intelligent anticollision algorithms [42]; artificial force fields [43], [44]; fuzzy-logic-based systems [45]- [48]; IF-THEN-logic-based systems [49]; neurofuzzy networks [50]; and line of sight counteractions [51]. However, one should note that none of the above literature has presented proper collision avoidance experimental results, which in turn are the main contribution of this study.…”

Section: Ship Collision Avoidancementioning

confidence: 99%

Experimental Evaluations on Ship Autonomous Navigation and Collision Avoidance by Intelligent Guidance

Perera

Ferrari

Santos

et al. 2015

IEEE J. Oceanic Eng.

119

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Experimental evaluations on autonomous navigation and collision avoidance of ship maneuvers by intelligent guidance are presented in this paper. These ship maneuvers are conducted on an experimental setup that consists of a navigation and control platform and a vessel model, in which the mathematical formulation presented is actually implemented. The mathematical formulation of the experimental setup is presented under three main sections: vessel traffic monitoring and information system, collision avoidance system, and vessel control system. The physical system of the experimental setup is presented under two main sections: vessel model and navigation and control platform. The vessel model consists of a scaled ship that has been used in this study. The navigation and control platform has been used to control the vessel model and that has been further divided under two sections: hardware structure and software architecture. Therefore, the physical system has been used to conduct ship maneuvers in autonomous navigation and collision avoidance experiments. Finally, several collision avoidance situations with two vessels are considered in this study. The vessel model is considered as the vessel (i.e., own vessel) that makes collision avoidance decisions/actions and the second vessel (i.e., target vessel) that does not take any collision avoidance actions is simulated. Finally, successful experimental results on several collision avoidance situations with two vessels are also presented in this study.

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Section: Ship Collision Avoidancementioning

confidence: 99%

Experimental Evaluations on Ship Autonomous Navigation and Collision Avoidance by Intelligent Guidance

Perera

Ferrari

Santos

et al. 2015

IEEE J. Oceanic Eng.

119

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show abstract

“…Currently, research on the development of unmanned ship technology is progressing rapidly. Autonomous driving technology is the core content of intelligent navigation for ships, and collision avoidance decision-making research is an important component of autonomous driving technology [1]. In the process of comprehensive application of unmanned ships in the future, there will be a long period of time when unmanned ships and ordinary motorized ships will navigate together at sea.…”

Section: Introductionmentioning

confidence: 99%

Rule-based multi-vessel collision avoidance models

Zheng,

Zhu,

Xia

2024

International Conference on Smart Transportation and City Engineering (STCE 2023)

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According to data from the Maritime Administration, the majority of collisions at sea are caused by human error and failure to comply with the International Regulations for Preventing Collisions at Sea (COLREGs). To this end, an algorithm is designed to make collision avoidance decisions among multiple vessels according to COLREGs. On the premise of fully complying with the International Regulations for Collision Avoidance at Sea and seafarers' common practice, the algorithm constructs a decision-making model for collision avoidance actions during multi-ship encounters by using the true-motion graphing model and the collision avoidance method of the key ship according to the principle of analytical geometry. The results show that the algorithm can quickly determine the avoidance relationship between ships and solve the avoidance action amplitude and timing according to the requirements of the Rules and seafarers' common practice, which realizes the unity of the avoidance decision and action, and verifies that the algorithm proposed in this paper has the features of fast operation speed and good robustness.

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“…The rapid development of unmanned vehicle relatedtechnologies promotes the evolution of intelligent and unmanned ships (Felski and Zwolak, 2020;Zheng et al, 2017). The autonomous navigation control system of an unmanned ship mainly involves three parts: perception and cognition module, decision-making and path planning module, path following and implementation module (Yang et al, 2007). The International Maritime Organization (IMO) had formally proposed the concept of Maritime Autonomous Surface Ships (MASS) in 2017 (IMO, 2017).…”

Section: Introductionmentioning

confidence: 99%