[HTML][HTML] Global path planning for autonomous ship: A hybrid approach of Fast Marching Square and velocity obstacles methods

P Chen, Y Huang, E Papadimitriou, J Mou… - Ocean …, 2020 - Elsevier
In this research, a hybrid approach for global path planning for Maritime Autonomous
Surface Ship (MASS) is proposed, which generates the shortest path considering the …

Energy-based USV maritime monitoring using multi-objective evolutionary algorithms

H Ouelmokhtar, Y Benmoussa, D Benazzouz… - Ocean …, 2022 - Elsevier
This study addresses the monitoring mission problem using an USV equipped with an on-
board LiDAR allowing to monitor regions inside its coverage radius. The problem is …

Review of ship behavior characteristics in mixed waterborne traffic

Y Tang, J Mou, L Chen, Y Zhou - Journal of Marine Science and …, 2022 - mdpi.com
Through the continuous development of intellectualization, considering the lifecycle of ships,
the future of a waterborne traffic system is bound to be a mixed scenario where intelligent …

Optimal path planning method for unmanned surface vehicles based on improved shark-inspired algorithm

J Liang, L Liu - Journal of Marine Science and Engineering, 2023 - mdpi.com
As crucial technology in the auto-navigation of unmanned surface vehicles (USVs), path-
planning methods have attracted scholars' attention. Given the limitations of White Shark …

Multi-domain inspection of offshore wind farms using an autonomous surface vehicle

DF Campos, A Matos, AM Pinto - SN Applied Sciences, 2021 - Springer
The offshore wind power industry is an emerging and exponentially growing sector, which
calls to a necessity for a cyclical monitoring and inspection to ensure the safety and …

MLB-IoD: Multi layered blockchain assisted 6G Internet of Drones ecosystem

G Raja, SG Senthivel, S Balaganesh… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The Internet of Drones (IoD) ecosystem consists of many interlinked commercial services
provided by a network of drones. The advent of 6G networks plays a crucial role in …

Bioinspired environment exploration algorithm in swarm based on levy flight and improved artificial potential field

C Wang, D Wang, M Gu, H Huang, Z Wang, Y Yuan… - Drones, 2022 - mdpi.com
Inspired by the behaviour of animal populations in nature, we propose a novel exploration
algorithm based on Lévy flight (LF) and artificial potential field (APF). The agent is extended …

Using artificial potential field theory for a cooperative control model in a connected and automated vehicles environment

Z Yi, L Li, X Qu, Y Hong, P Mao… - Transportation Research …, 2020 - journals.sagepub.com
Artificial potential field (APF) theory has been extensively applied in traffic path planning as
an efficient method to avoid collision. However, studies in collision avoidance based on APF …

一种基于二叉堆的Dijkstra 最短路径优化方法

王芝麟, 乔新辉, 马旭, 严研 - 工程数学学报, 2021 - jgsx-csiam.org.cn
本文针对Dijkstra 算法在处理海量数据时, 运算次数随着数据量增大而快速增大,
运算效率显著降低的问题, 使用最小二叉堆作为Dijkstra 最短路径算法的辅助数据结构 …

Dijkstra algorithm using UAV path planning

E Dhulkefl, A Durdu, H Terzioğlu - Konya Journal of Engineering …, 2020 - dergipark.org.tr
The use of unmanned aerial vehicles (UAV) is increasing today. UAVs can be divided into
two parts, which are remote controlled and can travel automatically due to a certain battery …