Cargando…
AUV Path Planning Considering Ocean Current Disturbance Based on Cloud Desktop Technology
In the field of ocean energy detection, Autonomous Underwater Vehicles (AUVs) offer significant advantages in terms of manpower, resource, and energy efficiency. However, the unpredictable nature of the ocean environment, particularly the real-time changes in ocean currents, poses navigational risks...
Autores principales: | Hu, Siyuan, Xiao, Shuai, Yang, Jiachen, Zhang, Zuochen, Zhang, Kunyu, Zhu, Yong, Zhang, Yubo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490685/ https://www.ncbi.nlm.nih.gov/pubmed/37687967 http://dx.doi.org/10.3390/s23177510 |
Ejemplares similares
-
Deep Learning for Efficient and Optimal Motion Planning for AUVs with Disturbances
por: Parras, Juan, et al.
Publicado: (2021) -
Bilevel Optimization-Based Time-Optimal Path Planning for AUVs
por: Yao, Xuliang, et al.
Publicado: (2018) -
3D smooth path planning of AUV based on improved ant colony optimization considering heading switching pressure
por: Meng, Ronghua, et al.
Publicado: (2023) -
Author Correction: 3D smooth path planning of AUV based on improved ant colony optimization considering heading switching pressure
por: Meng, Ronghua, et al.
Publicado: (2023) -
Improved Artificial Potential Field Algorithm Assisted by Multisource Data for AUV Path Planning
por: Xing, Tianyu, et al.
Publicado: (2023)