Publication: Particle swarm optimization-based collision avoidance
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Collision risk assessment and collision avoidance of vessels have always been an important topic in ocean engineering. Decision support systems are increasingly becoming the focus of many studies in the maritime industry today as vessel accidents are often caused by human error. This study proposes an anticollision decision support system that can determine surrounding obstacles by using the information received from radar systems, obtain the position and speed of obstacles within a certain time period, and suggest possible routes to prevent collisions. In this study we use a neural network to predict the subsequent positions of surrounding vessels, a fuzzy logic system to obtain the risk of collision, and a particle swarm optimization algorithm to find the safe and shortest path for collision avoidance.
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Bilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği, Sinyal İşleme, Bilgisayar Bilimleri, Algoritmalar, Mühendislik ve Teknoloji, Information Systems, Communication and Control Engineering, Signal Processing, Computer Sciences, algorithms, Engineering and Technology, BİLGİSAYAR BİLİMİ, YAPAY ZEKA, Bilgisayar Bilimi, Mühendislik, Bilişim ve Teknoloji (ENG), MÜHENDİSLİK, ELEKTRİK VE ELEKTRONİK, Mühendislik, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, COMPUTER SCIENCE, Engineering, Computing & Technology (ENG), ENGINEERING, ELECTRICAL & ELECTRONIC, ENGINEERING, Genel Mühendislik, Elektrik ve Elektronik Mühendisliği, Mühendislik (çeşitli), Bilgisayarla Görme ve Örüntü Tanıma, Bilgisayar Bilimi Uygulamaları, Yapay Zeka, Bilgisayar Bilimi (çeşitli), Genel Bilgisayar Bilimi, Fizik Bilimleri, General Engineering, Electrical and Electronic Engineering, Engineering (miscellaneous), Computer Vision and Pattern Recognition, Computer Science Applications, Artificial Intelligence, Computer Science (miscellaneous), General Computer Science, Physical Sciences, Particle swarm optimization, collision avoidance, collision risk assessment, neural network, fuzzy, NAVIGATION, Particle swarm optimization, collision avoidance, collision risk assessment, neural network, fuzzy
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Inan T., BABA A. F. , "Particle swarm optimization-based collision avoidance", TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, cilt.27, sa.3, ss.2137-2155, 2019