A Concept of Autonomous Multi-Agent Navigation System for Unmanned Surface Vessels

Lazarowska, Agnieszka; Zak, Andrzej

doi:10.3390/electronics11182853

Cited by 5 publications

(1 citation statement)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The following paper [4] introduces a proposal for an Autonomous Navigation System for Unmanned Surface Vessels. A special emphasis is carried out on collision avoidance and manoeuvre auto-negotiation.…”

Section: Overview Of Contributionsmentioning

confidence: 99%

Automation, Operation and Maintenance of Control and Communication Systems

2023

View full text Add to dashboard Cite

The special issue is devoted to selected papers, which results of the research were presented during the XVIII Conference on Automation, Operation and Maintenance of Control and Communication Systems ASMOR 2022. The conference was conducted from the 12th to the 14th of October 2022 in Władysławowo, Poland. The scope of the conference is quite wide, focusing mainly on automation and exploitation aspects of the control and communications systems. Due to the specified scope of the Electronics, only the papers selected by the ASMOR Scientific Committee and the Electronics Editors were published after an extensive reviewing and revising process.

show abstract

Section: Overview Of Contributionsmentioning

confidence: 99%

Automation, Operation and Maintenance of Control and Communication Systems

2023

View full text Add to dashboard Cite

show abstract

All-electric ship operations and management: Overview and future research directions

et al. 2023

View full text Add to dashboard Cite

Ship Collaborative Path Planning Method Based on CS-STHA

Yao

Liu

2022

JMSE

View full text Add to dashboard Cite

Ship path planning is one of the key technologies for ship automation. Establishing a cooperative collision avoidance (CA) path for multi-ship encounters is of great value to maritime intelligent transportation. This study aims to solve the problem of multi-ship collaborative collision avoidance based on the algorithm of Conflict Search (CS) and Space-Time Hybrid A-star (STHA). First, a static CA path is searched for each ship by using the space-time Hybrid A-star algorithm, and the conflict risk area is determined according to the ship safety distance constraint and fuzzy Collision Risk Index (CRI). Secondly, the space-time conflict constraint is introduced into the multi-ship cooperative CA scheme, and the binary tree is used to search for an optimal navigation path with no conflict and low cost. In addition, the optimal path is smoothed by using cubic interpolation to make the path consistent with actual navigation practice and ship maneuvering characteristics. Finally, considering the constraints of the International Regulations for Preventing Collisions at Sea (COLREGs), the typical two-ship and multi-ship encounter scenarios are designed and simulated to verify the effectiveness of the proposed method. Furthermore, a comparative analysis of actual encounters and encounters based on CS-STHA is also carried out. The results indicate that the proposed algorithm in the study can obtain an optimal CA path effectively and provide a reference of CA decision-making for autonomous ships.

show abstract

A Concept of Autonomous Multi-Agent Navigation System for Unmanned Surface Vessels

Cited by 5 publications

References 31 publications

Automation, Operation and Maintenance of Control and Communication Systems

Automation, Operation and Maintenance of Control and Communication Systems

All-electric ship operations and management: Overview and future research directions

Ship Collaborative Path Planning Method Based on CS-STHA

Contact Info

Product

Resources

About