7 research outputs found

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    Determination of the Last Moment Manoeuvre for Collision Avoidance Using Standards for Ships Manoeuvrability

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    The paper presents a concept of the new algorithm solving Last Moment Manoeuvre problem. Last Moment Manoeuvre means that action taken only by one vessel is not enough to avoid collision. This is why both vessels have to synchronize their manoeuvres to pass each other. The main focus of the proposed solution is concentrated on the procedure defining the best possible manoeuvre for each vessel when avoiding a collision is no longer possible. For simplification, the assumption that the parameters of the vessels involved in the Last Moment Manoeuvre meet Standards for Ships Manoeuvrability set out in the IMO resolution, will be adopted. The algorithm presented in the paper will be implemented and tested in the commercial system

    Implementation of Anti-Collision System on M/F ‘Wawel’

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    The known navigational systems in use and methods of navigational decision support perform information functions and as such are helpful in the process of safe conduct of a vessel. However, none of these known systems provides a navigator with ready solutions of collision situations taking account of all the vessels in the proximity of own ship, where the Collision Regulations apply. This paper presents verification results of NAVDEC — new Navigational Decision Supporting System created by research team from Szczecin Maritime University both for ocean going ships and pleasure crafts. Verification was carried out in real condition on board Motor Ferry ‘Wawel’ (m/f ‘Wawel’), which belongs to shipowner Polferries (PŻB). During the journey to/from Nynashamn system was tested from customer perspective. Few suggestions for improvements were issued, which were discussed in this article

    Weryfikacja systemu przetwarzania obrazu w warunkach rzeczywistych

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    AVAL – Autonomous Vessel with an Air Look, is a research project that aims to develop autonomous navigation of ships. The system uses three independent sources of information i.e. radar, AIS – Automatic Identification System and cameras, which can be located on a drone or ship’s superstructure. The article presents the results of testing of an image processing system in real conditions on m/f Wolin.AVAL – Autonomous Vessel with a Air Look, to projekt badawczy, którego celem jest opracowanie autonomicznej nawigacji statków. System wykorzystuje trzy niezależne źródła informacji tj. radar, AIS – System Automatycznej Identyfikacji oraz kamery, które mogą być umieszczone na dronie lub nadbudówce statku. W artykule przedstawiono wyniki testowania systemu przetwarzania obrazu w warunkach rzeczywistych na m/f Wolin

    Beam Search Algorithm for Anti-Collision Trajectory Planning for Many-to-Many Encounter Situations with Autonomous Surface Vehicles

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    A single anti-collision trajectory generation problem for an “own” vessel only is significantly different from the challenge of generating a whole set of safe trajectories for multi-surface vehicle encounter situations in the open sea. Effective solutions for such problems are needed these days, as we are entering the era of autonomous ships. The article specifies the problem of anti-collision trajectory planning in many-to-many encounter situations. The proposed original multi-surface vehicle beam search algorithm (MBSA), based on the beam search strategy, solves the problem. The general idea of the MBSA involves the application of a solution for one-to-many encounter situations (using the beam search algorithm, BSA), which was tested on real automated radar plotting aid (ARPA) and automatic identification system (AIS) data. The test results for the MBSA were from simulated data, which are discussed in the final part. The article specifies the problem of anti-collision trajectory planning in many-to-many encounter situations involving moving autonomous surface vehicles, excluding Collision Regulations (COLREGs) and vehicle dynamics
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