Titlebook: Safe Trajectory Planning for Maritime Surface Ships; Agnieszka Lazarowska Book 2022 The Editor(s) (if applicable) and The Author(s), under

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Agnieszka Lazarowskaer Keras and TensorFlow, open-source libraries for deep neural network programming. To heighten learning quality subject to limited amount of training data, image preprocessing involving gray-level transformation, thresholding, and morphological operations is introduced. Experimental results corrobo

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the post-use questionnaire. Students from two higher education institutions were included in the study as a representative sample of users. The psychometric features of the research model were examined by means of the partial least squares structural equation modelling method. Study findings uncove

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Non-deterministic Algorithmse the achievement of an optimal solution. It is aimed at the reception of an acceptable, near-optimal solution. In this chapter two of such approaches will be presented with the application to ship safe trajectory planning. These are: Ant Colony Optimization (Sect.?.) and Evolutionary Algorithms (Se

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2194-8445 s book fills an important gap in the literature of marine navigation, providing not only researchers and practitioners with a timely reference guide to safe trajectory planning, but also supporting students and newcomers to the field..978-3-030-97717-7978-3-030-97715-3Series ISSN 2194-8445 Series E-ISSN 2194-8453

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Book 2022xtensive information on how to develop and implement algorithms for applications in real-world settings. It describes the most relevant decision-support systems and guidance systems used in the control of marine craft, giving a special emphasis to autonomous vehicles, but also covering manned ones.

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Problem Definitionituation at sea, the methods of navigational environment modeling and the mechanisms applied in order to achieve a solution compliant with The International Regulations for Preventing Collisions at Sea.

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Evaluation of Algorithmsl situations with lands, multi-ship encounters and test cases with the use of real navigational data registered on board a ship. Consideration of the algorithm performance from different ships perspectives is also included in this chapter.