Maritime Autonomous Surface Ships: Architecture for Autonomous Navigation Systems
The development of Maritime Autonomous Surface Ships (MASS) has seen significant advancements in recent years, yet there remains a lack of comprehensive studies that holistically address the architecture of autonomous navigation systems and explain the complexity of their individual elements. This p...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-01-01
|
| Series: | Journal of Marine Science and Engineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-1312/13/1/122 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832588215425433600 |
|---|---|
| author | Anas S. Alamoush Aykut I. Ölçer |
| author_facet | Anas S. Alamoush Aykut I. Ölçer |
| author_sort | Anas S. Alamoush |
| collection | DOAJ |
| description | The development of Maritime Autonomous Surface Ships (MASS) has seen significant advancements in recent years, yet there remains a lack of comprehensive studies that holistically address the architecture of autonomous navigation systems and explain the complexity of their individual elements. This paper aims to bridge this gap by conducting a literature review that consolidates key research in the field and presents a detailed architecture of autonomous navigation systems. The results of this study identify several major clusters essential to MASS navigation architecture, including (1) autonomous navigation architecture, (2) decision-making and action-taking system, (3) situational awareness and associated technologies, (4) sensor fusion technology, (5) collision avoidance subsystems, (6) motion control and path following, and (7) mooring and unmooring. Each cluster is further dissected into sub-clusters, highlighting the intricate and interdependent nature of the components that facilitate autonomous navigation. The implications of this study are vital for multiple stakeholders. Ship captains and seafarers must be prepared for new navigation technologies, while managers and practitioners can use this architecture to better understand and implement these systems. Researchers will find a foundation for future investigations, particularly in filling knowledge gaps related to autonomous ship operations. This study makes a substantial contribution by filling a critical gap in the maritime literature, offering a detailed explanation of the elements within autonomous navigation systems. |
| format | Article |
| id | doaj-art-8f8f79636e994e949d5e0471fa84735f |
| institution | Kabale University |
| issn | 2077-1312 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj-art-8f8f79636e994e949d5e0471fa84735f2025-01-24T13:36:56ZengMDPI AGJournal of Marine Science and Engineering2077-13122025-01-0113112210.3390/jmse13010122Maritime Autonomous Surface Ships: Architecture for Autonomous Navigation SystemsAnas S. Alamoush0Aykut I. Ölçer1Maritime Energy Management Department, World Maritime University, 211 18 Malmö, SwedenMaritime Energy Management Department, World Maritime University, 211 18 Malmö, SwedenThe development of Maritime Autonomous Surface Ships (MASS) has seen significant advancements in recent years, yet there remains a lack of comprehensive studies that holistically address the architecture of autonomous navigation systems and explain the complexity of their individual elements. This paper aims to bridge this gap by conducting a literature review that consolidates key research in the field and presents a detailed architecture of autonomous navigation systems. The results of this study identify several major clusters essential to MASS navigation architecture, including (1) autonomous navigation architecture, (2) decision-making and action-taking system, (3) situational awareness and associated technologies, (4) sensor fusion technology, (5) collision avoidance subsystems, (6) motion control and path following, and (7) mooring and unmooring. Each cluster is further dissected into sub-clusters, highlighting the intricate and interdependent nature of the components that facilitate autonomous navigation. The implications of this study are vital for multiple stakeholders. Ship captains and seafarers must be prepared for new navigation technologies, while managers and practitioners can use this architecture to better understand and implement these systems. Researchers will find a foundation for future investigations, particularly in filling knowledge gaps related to autonomous ship operations. This study makes a substantial contribution by filling a critical gap in the maritime literature, offering a detailed explanation of the elements within autonomous navigation systems.https://www.mdpi.com/2077-1312/13/1/122MASSautonomous navigationsituational awarenesssensor fusioncollision avoidancearchitecture |
| spellingShingle | Anas S. Alamoush Aykut I. Ölçer Maritime Autonomous Surface Ships: Architecture for Autonomous Navigation Systems Journal of Marine Science and Engineering MASS autonomous navigation situational awareness sensor fusion collision avoidance architecture |
| title | Maritime Autonomous Surface Ships: Architecture for Autonomous Navigation Systems |
| title_full | Maritime Autonomous Surface Ships: Architecture for Autonomous Navigation Systems |
| title_fullStr | Maritime Autonomous Surface Ships: Architecture for Autonomous Navigation Systems |
| title_full_unstemmed | Maritime Autonomous Surface Ships: Architecture for Autonomous Navigation Systems |
| title_short | Maritime Autonomous Surface Ships: Architecture for Autonomous Navigation Systems |
| title_sort | maritime autonomous surface ships architecture for autonomous navigation systems |
| topic | MASS autonomous navigation situational awareness sensor fusion collision avoidance architecture |
| url | https://www.mdpi.com/2077-1312/13/1/122 |
| work_keys_str_mv | AT anassalamoush maritimeautonomoussurfaceshipsarchitectureforautonomousnavigationsystems AT aykutiolcer maritimeautonomoussurfaceshipsarchitectureforautonomousnavigationsystems |