Experimental Results on Collision Avoidance of Autonomous Ship Manoeuvres

2013 ◽  
Author(s):  
L. P. Perera ◽  
V. Ferrari ◽  
F. P. Santos ◽  
M. A. Hinostroza ◽  
C. Guedes Soares
Keyword(s):  
Information System ◽  
Collision Avoidance ◽  
Mathematical Formulation ◽  
Traffic Monitoring ◽  
Experimental Results ◽  
Experimental Setup ◽  
Experimental Platform ◽  
Ship Collision ◽  
Collision Avoidance System ◽  
Autonomous Ship

In this paper, experimental results on collision avoidance of autonomous ship manoeuvres are discussed. The collision avoidance experiments are conducted on a navigation & control platform that has been presented in a mathematical formulation as well as in an experimental setup. The mathematical formulation of collision avoidance consists of three systems: vessel traffic monitoring and information system (VTMIS), collision avoidance system (CAS), and vessel control system (VCS). The experimental platform of collision avoidance consists of a physical system that has been used to generate experimental results. The experimental platform is further divided into two sections: vessel model and navigation & control platform. The vessel model consists of a scale ship, where the CAS is implemented. The navigation & control platform consists of hardware structure and software architecture that supported for vessel model navigation. Two ship collision situations are considered in this study, where one ship is implemented under the vessel model and another ship is simulated. Finally, the successful collision avoidance results with respect various collision situations are presented.

scholarly journals Navigation Situation Clustering Model of Human-Operated Ships for Maritime Autonomous Surface Ship Collision Avoidance Tests

2021 ◽  
Vol 9 (12) ◽  
pp. 1458
Author(s):  
Taewoong Hwang ◽  
Ik-Hyun Youn
Keyword(s):  
Collision Avoidance ◽  
Automatic Identification ◽  
Identification System ◽  
The West ◽  
Test Environment ◽  
Clustering Model ◽  
Data Driven Approach ◽  
Ship Collision ◽  
Collision Avoidance System ◽  
Autonomous Ship

The collision avoidance system is one of the core systems of MASS (Maritime Autonomous Surface Ships). The collision avoidance system was validated using scenario-based experiments. However, the scenarios for the validation were designed based on COLREG (International Regulations for Preventing Collisions at Sea) or are arbitrary. Therefore, the purpose of this study is to identify and systematize objective navigation situation scenarios for the validation of autonomous ship collision avoidance algorithms. A data-driven approach was applied to collect 12-month Automatic Identification System data in the west sea of Korea, to extract the ship’s trajectory, and to hierarchically cluster the data according to navigation situations. Consequently, we obtained the hierarchy of navigation situations and the frequency of each navigation situation for ships that sailed the west coast of Korea during one year. The results are expected to be applied to develop a collision avoidance test environment for MASS.

Autonomous Ship Collision Avoidance Navigation Concepts, Technologies and Techniques

2007 ◽  
Vol 61 (1) ◽  
pp. 129-142 ◽  
Author(s):  
Thomas Statheros ◽  
Gareth Howells ◽  
Klaus McDonald Maier
Keyword(s):  
Collision Avoidance ◽  
Soft Computing ◽  
Cognitive Abilities ◽  
Theoretical Background ◽  
Factors Influencing ◽  
Soft Computing Techniques ◽  
Water Based ◽  
Ship Navigation ◽  
Ship Collision ◽  
Autonomous Ship

This study provides both a spherical understanding about autonomous ship navigation for collision avoidance (CA) and a theoretical background of the reviewed work. Additionally, the human cognitive abilities and the collision avoidance regulations (COLREGs) for ship navigation are examined together with water based collision avoidance algorithms. The requirements for autonomous ship navigation are addressed in conjunction with the factors influencing ship collision avoidance. Humans are able to appreciate these factors and also perform ship navigation at a satisfactory level, but their critical decisions are highly subjective and can lead to error and potentially, to ship collision. The research for autonomous ship navigation may be grouped into the classical and soft computing based categories. Classical techniques are based on mathematical models and algorithms while soft-computing techniques are based on Artificial Intelligence (AI). The areas of AI for autonomous ship collision avoidance are examined in this paper are evolutionary algorithms, fuzzy logic, expert systems, and neural networks (NN), as well as a combination of them (hybrid system).

DATA VISUALIZATION OF SHIP COLLISION AVOIDANCE SYSTEM

2016 ◽  
Vol 8 (4) ◽  
pp. 51-61
Author(s):  
Victor Mihajlovich Grinyak ◽  
◽  
Maxim Valerevich Trofimov ◽  
Victor Ivanovich Lulko ◽  
◽  
...  
Keyword(s):  
Collision Avoidance ◽  
Data Visualization ◽  
Ship Collision ◽  
Collision Avoidance System

scholarly journals A Novel Method for Risk Assessment and Simulation of Collision Avoidance for Vessels based on AIS

Algorithms ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 204 ◽  
Author(s):  
ManhCuong Nguyen ◽  
Shufang Zhang ◽  
Xiaoye Wang
Keyword(s):  
Mathematical Model ◽  
Risk Assessment ◽  
Collision Avoidance ◽  
Warning System ◽  
Automatic Identification ◽  
Identification System ◽  
Novel Method ◽  
Ship Collision ◽  
Collision Avoidance System ◽  
Traffic Detection

The identification of risks associated with collision for vessels is an important element in maritime safety and management. A vessel collision avoidance system is a topic that has been deeply studied, and it is a specialization in navigation technology. The automatic identification system (AIS) has been used to support navigation, route estimation, collision prediction, and abnormal traffic detection. This article examined the main elements of ship collision, developed a mathematical model for the risk assessment, and simulated a collision assessment based on AIS information, thereby providing meaningful recommendations for crew training and a warning system, in conjunction with the AIS on board.

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