Overview
- Offers a comprehensive review of collision avoidance algorithms
- Guides to the implementation and testing in real-world settings
- Includes explanations for non-specialists
Part of the book series: Springer Series on Naval Architecture, Marine Engineering, Shipbuilding and Shipping (NAMESS, volume 13)
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Table of contents (7 chapters)
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Front Matter
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Methodology of Collision Avoidance and Trajectory Planning
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Front Matter
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Safe Trajectory Planning Algorithms
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Front Matter
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Back Matter
Keywords
- Trajectory Optimization Algorithms
- Discrete Artificial Potential Field
- Wave-front Algorithm
- Visibility Graph Search Algorithm
- Rotational Plane Sweep Algorithm
- Navigational Data Fusion
- Collision Risk Assessment
- Ant Colony Optimization for Trajectory Planning
- Dynamic Programming for Safe Trajectory Planning
- COLREGs compliance
- DCPA and TCPA methods
- Deterministic VS Nondeterministic Algorithms
- ARPA Collision Avoidance
- Maritime Autonomous Surface Ship
- Trajectory Planning Algorithms
- Ship Path Planning
- Predicted Point of Collision
- Pheromone trails
- Ship Control Systems
- Situation Awareness Module
About this book
This book offers a comprehensive review of collision avoidance techniques and safe trajectory planning for manned and unmanned ships, together with extensive 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. Thanks to its good balance of theory and practice, and the inclusion of basic explanations of all essential concepts, this 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.
Authors and Affiliations
About the author
Agnieszka Lazarowska received her B.S., M.S. and Ph.D. degrees in electrical engineering, from Gdynia Maritime University (Poland), in 2007, 2008 and 2015, respectively. Since 2015, she has been working as an Assistant Professor in the Department of Ship Automation of the Faculty of Electrical Engineering at Gdynia Maritime University. With more than ten years' experience in the development of collision avoidance and path planning algorithms for ships and autonomous vehicles, her research covers guidance systems, decision support systems and path planning algorithms for autonomous navigation, as well as deterministic and nondeterministic optimization methods, artificial and swarm intelligence-based methods for safe navigation of unmanned and autonomous ships, and other autonomous vehicles. In 2018-2019, she was a research coordinator and principal investigator of the project Research on New Obstacle Avoidance Algorithms for Ships (NOAA) founded bythe International Association of Maritime Universities (IAMU) and the Nippon Foundation, Japan. She has been teaching courses on control theory, digital circuits and microcontroller programming.
Bibliographic Information
Book Title: Safe Trajectory Planning for Maritime Surface Ships
Authors: Agnieszka Lazarowska
Series Title: Springer Series on Naval Architecture, Marine Engineering, Shipbuilding and Shipping
DOI: https://doi.org/10.1007/978-3-030-97715-3
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-97714-6Published: 29 March 2022
Softcover ISBN: 978-3-030-97717-7Published: 30 March 2023
eBook ISBN: 978-3-030-97715-3Published: 25 March 2022
Series ISSN: 2194-8445
Series E-ISSN: 2194-8453
Edition Number: 1
Number of Pages: XV, 185
Number of Illustrations: 71 b/w illustrations, 91 illustrations in colour
Topics: Control and Systems Theory, Mechanical Engineering, Machine Learning, Robotics and Automation