Automatic simulation of ship navigation

Yang, Xue; Clelland, David; Lee, B.S.; Han, Duanfeng

doi:10.1016/j.oceaneng.2011.10.011

Cited by 115 publications

(48 citation statements)

References 7 publications

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“…Although methods proposed in Sheng et al (2010) and Xue et al (2011) solved it by introducing virtual target point the impact was a sacrifice in computation time consequently potential field with single global minimum point is preferred. Garrido et al (2011) used the fast marching (FM) method to construct potential field with the target point as single minimum point for robot formation path planning.…”

Section: Deterministic Approach Heuristic Approachmentioning

confidence: 99%

Path planning algorithm for unmanned surface vehicle formations in a practical maritime environment

2015

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a b s t r a c tUnmanned surface vehicles (USVs) have been deployed over the past decade. Current USV platforms are generally of small size with low payload capacity and short endurance times. To improve effectiveness there is a trend to deploy multiple USVs as a formation fleet. This paper presents a novel computer based algorithm that solves the problem of USV formation path planning. The algorithm is based upon the fast marching (FM) method and has been specifically designed for operation in dynamic environments using the novel constrained FM method. The constrained FM method is able to model the dynamic behaviour of moving ships with efficient computation time. The algorithm has been evaluated using a range of tests applied to a simulated area and has been proved to work effectively in a complex navigation environment.

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Section: Deterministic Approach Heuristic Approachmentioning

confidence: 99%

Path planning algorithm for unmanned surface vehicle formations in a practical maritime environment

2015

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“…(1) Ship Motion Equations In the body-fixed reference frame, the equations of the vessel's spatial (6 DoFs) motion will have the following form (Xue et al, 2011).…”

Section: Ship Model Designmentioning

confidence: 99%

A systematic simulation methodology for LNG ship operations in port waters: a case study in Meizhou Bay

Chen

Yan²,

Huang

et al. 2017

Journal of Marine Engineering & Technology

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With the increment for LNG (liquefied natural gas) demand, LNG carriers are becoming larger in size. The operational safety of the carriers and the associated terminals is increasingly attracting attention. This is particularly true when a large LNG vessel approaches a terminal, requiring a detailed investigation of ship handling in port waters, especially in certain unusual cases. A full mission simulator provides an effective tool for research and training in operations of both port terminals and ships. This paper presents an experimental design methodology of the full mission simulation. The details as to how the simulation is achieved are described, and the simulation strategies applicable to LNG ships are specified. A typical case study is used to demonstrate and verify the proposed design methodology. The proposed methodology of the full mission simulation provides guidance for port safety research, risk evaluation and seafarer training.

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“…Benjamin et al (2006), Szlapczynski (2006), and Xue et al (2011) focused on a collision avoidance in path planning of multiple surface vehicles. Benjamin et al (2006) employed an interval programming technique for a behavior-based architecture for collision avoidance.…”

Section: Previous Workmentioning

confidence: 99%

“…They also use a ship domain concept (Elisabeth, 1975) to assure the vehicle avoids obstacles. Szlapczynski (2006) applied the concept of a turning penalty in the ship routing problem on raster grids, and Xue et al (2011) employed a potential field method to handle the collision avoidance problem in ship navigation. Daniel et al (2010) and Soulignac (2011) covered the heading angle problem during travel by generating a smoother and more kinematically-feasible trajectory that overcomes the movement limitation in a discretized map where the vehicle is allowed to move only along conventional grid centers.…”

Section: Previous Workmentioning

confidence: 99%

Energy efficient path planning for a marine surface vehicle considering heading angle

et al. 2015

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Automatic simulation of ship navigation

Cited by 115 publications

References 7 publications

Path planning algorithm for unmanned surface vehicle formations in a practical maritime environment

Path planning algorithm for unmanned surface vehicle formations in a practical maritime environment

A systematic simulation methodology for LNG ship operations in port waters: a case study in Meizhou Bay

Energy efficient path planning for a marine surface vehicle considering heading angle

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