Parallel Systems Framework: A Safe and Efficient Testbed for Unmanned Ships

In this study, unmanned ships test platform based on the parallel systems framework is proposed to improve the test efficiency and accuracy of unmanned ships in complex ocean environment. The parallel intelligence theory and ACP approach, the efficient interaction between virtual and real environment is achieved, which provides more comprehensive and accurate data for unmanned ships testing. Future research will further expand the scope of virtual environment simulation and improve systems accuracy and response speed to a wider range of unmanned ships test requirements.

Authors

Institutions

Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1109/dtpi61353.2024.10778783
Primary Topic
Real-Time Systems Scheduling
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Parallel Systems Framework: A Safe and Efficient Testbed for Unmanned Ships

Zhen Shen, Long Fu, Xisong Dong, Gang Xiong et al.
Real-Time Systems Scheduling
article

Parallel Systems Framework: A Safe and Efficient Testbed for Unmanned Ships

Zhen Shen, Long Fu, Xisong Dong, Gang Xiong, Yunjun Han, Shuguang Yang, Fei‐Yue Wang
article en

Abstract

In this study, unmanned ships test platform based on the parallel systems framework is proposed to improve the test efficiency and accuracy of unmanned ships in complex ocean environment. The parallel intelligence theory and ACP approach, the efficient interaction between virtual and real environment is achieved, which provides more comprehensive and accurate data for unmanned ships testing. Future research will further expand the scope of virtual environment simulation and improve systems accuracy and response speed to a wider range of unmanned ships test requirements.

Chinese Academy of Sciences (CN), Shandong Institute of Automation (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 76%
Real-Time Systems Scheduling
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.