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Path planning algorithm for ship collisions avoidance in environment with changing strategy of dynamic obstacles

Abstract

In this paper a path planning algorithm for the ship collision avoidance is presented. Tested algorithm is used to determine close to optimal ship paths taking into account changing strategy of dynamic obstacles. For this purpose a path planning problem is defined. A specific structure of the individual path and fitness function is presented. Principle of operation of evolutionary algorithm and based on it dedicated application vEP/N++ is described. Using presented algorithm the simulations on close-to-real sea environment is performed. Tested environment presents the problem of avoiding one static obstacle representing island and two dynamic objects representing strange ships.Obtained results proof that used approach allows to calculate efficient and close-to-optimal path for marine vessel in close-to-real time.

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Details

Category:
Conference activity
Type:
materiały konferencyjne indeksowane w Web of Science
Published in:
Advances in Intelligent Systems and Computing no. 577, pages 641 - 650,
ISSN: 2194-5357
Title of issue:
Trends in Advanced Intelligent Control, Optimization and Automation strony 641 - 650
Language:
English
Publication year:
2017
Bibliographic description:
Kuczkowski Ł., Śmierzchalski R..: Path planning algorithm for ship collisions avoidance in environment with changing strategy of dynamic obstacles, W: Trends in Advanced Intelligent Control, Optimization and Automation, 2017, ,.
DOI:
Digital Object Identifier (open in new tab) 10.1007/978-3-319-60699-6_62
Verified by:
Gdańsk University of Technology

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