Next-Gen Intelligent Situational Awareness Systems for Maritime Surveillance and Autonomous Navigation [Point of View]

被引：21

作者：

Forti, Nicola ^{[1
]}

D'Afflisio, Enrica ^{[1
]}

Braca, Paolo ^{[1
]}

Millefiori, Leonardo M. ^{[1
]}

Willett, Peter ^{[2
]}

机构：

[1] NATO Sci & Technol Org Ctr Maritime Res & Expt, Res Dept, I-19126 La Spezia, Italy

[2] Univ Connecticut, Elect & Comp Engn Dept, Storrs, CT 06269 USA

来源：

PROCEEDINGS OF THE IEEE | 2022年 / 110卷 / 10期

关键词：

Autonomous vehicles; Maritime vehicles; Surveillance; Sensors; Anomaly detection; Signal processing; Sonar navigation; Radar; Remotely guided vehicles; DEVIATIONS;

D O I：

10.1109/JPROC.2022.3194445

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Today, the maritime domain is at the cusp of a new era, driven by technological advances in automation, robotics, multisensor perception, and artificial intelligence (AI), together with digitalization and connectivity. Smart ship infrastructure and technology, remotely controlled and autonomous ship operation to improve safety, security, cost efficiency, and sustainability are the future of maritime transportation [1], representing now the engine of 90% of global trade [2]. Ships will soon benefit from recent developments in sensors, telecommunications, and computing technologies to turn the smart shipping revolution into reality [3] and [4], as it has already happened for autonomous vehicles such as driverless cars, aerial drones, unmanned (or remotely piloted) aircraft, and underwater vehicles.

引用

页码：1532 / 1537

页数：6

共 19 条

[1] [Anonymous], 2021, OUTCOME REGULATORY S
[2] [Anonymous], 2021, SAFETY SHIPPING REV
[3] [Anonymous], 2016, AUTONOMOUS SHIPS THE
[4] Cyber Meets Control: A Novel Federated Approach for Resilient CPS Leveraging Real Cyber Threat Intelligence
Bou-Harb, Elias
Lucia, Walter
Forti, Nicola
Weerakkody, Sean
Ghani, Nasir
Sinopoli, Bruno
[J]. IEEE COMMUNICATIONS MAGAZINE, 2017, 55 (05) : 198 - 204
[5] Brekke E. F., 2019, Journal of Physics: Conference Series, V1357, DOI 10.1088/1742-6596/1357/1/012020
[6] Burmeister H.-C., 2016, D86 FRAUNH CTR MAR L
[7] Deep Learning Methods for Vessel Trajectory Prediction Based on Recurrent Neural Networks
Capobianco, Samuele
Millefiori, Leonardo M.
Forti, Nicola
Braca, Paolo
Willett, Peter
[J]. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2021, 57 (06) : 4329 - 4346
[8] Malicious AIS Spoofing and Abnormal Stealth Deviations: A Comprehensive Statistical Framework for Maritime Anomaly Detection
D'Afflisio, Enrica
Braca, Paolo
Willett, Peter
[J]. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2021, 57 (04) : 2093 - 2108
[9] Detecting Anomalous Deviations From Standard Maritime Routes Using the Ornstein-Uhlenbeck Process
d'Afflisio, Enrica
Braca, Paolo
Millefiori, Leonardo M.
Willett, Peter
[J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2018, 66 (24) : 6474 - 6487
[10] EMSA, 2023, Annual overview of marine casualties and incidents 2023

← 1 2 →