RADAR-BASED DETECTION AND RECOGNITION METHODOLOGY OF AUTONOMOUS SURFACE VEHICLES IN CHALLENGING MARINE ENVIRONMENT

RADAR-BASED DETECTION AND RECOGNITION METHODOLOGY OF AUTONOMOUS SURFACE VEHICLES IN CHALLENGING MARINE ENVIRONMENT

This paper presents a methodology that combines radar polarization selection and recognition techniques for navigating objects in atmospheric formations, with a special focus on unmanned surface vehicles (ASVs). The proposed technique utilizes the concept of an energy dissipation matrix to represent...

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Bibliographic Details
Main Authors: Dmytro KORBAN, Oleksiy MELNYK, Oleg ONISHCHENKO, Serhii KURDIUK, Valerii SHEVCHENKO
Format: Article
Language:English
Published: Silesian University of Technology 2024-03-01
Series:Scientific Journal of Silesian University of Technology. Series Transport
Subjects:
autonomous surface vehicles
object detection and ranging
radar technology
adverse weather conditions
atmospheric interference
environmental factors
signal characteristics
vessel particulars
sensor performance
adaptability
shipping
navigation
influence factors
detection accuracy
Online Access:https://sjsutst.polsl.pl/archives/2024/vol122/111_SJSUTST122_2024_Korban.pdf
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https://sjsutst.polsl.pl/archives/2024/vol122/111_SJSUTST122_2024_Korban.pdf

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