System Architecture and Communication Infrastructure for the RoboVaaS Project-Reference-Cited by-同舟云学术

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System Architecture and Communication Infrastructure for the RoboVaaS Project

Published:2023-07 Issue:3 Volume:48 Page:716-739
ISSN:0364-9059
Container-title:IEEE Journal of Oceanic Engineering
language:
Short-container-title:IEEE J. Oceanic Eng.

Author:

Coccolo Emanuele¹,Delea Cosmin²,Steinmetz Fabian³^ORCID,Francescon Roberto⁴,Signori Alberto¹^ORCID,Au Ching Nok²,Campagnaro Filippo¹^ORCID,Schneider Vincent²^ORCID,Favaro Federico¹,Oeffner Johannes²^ORCID,Renner Bernd-Christian³^ORCID,Zorzi Michele¹^ORCID

Affiliation:

1. Department of Information Engineering, University of Padova, Padova, Italy

2. Fraunhofer Center for Maritime Logistics and Service, Hamburg, Germany

3. Institute for Autonomous Cyber-Physical Systems, Hamburg University of Technology, Hamburg, Germany

4. Wireless and More srl, Padova, Italy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Ocean Engineering

Link

http://xplorestaging.ieee.org/ielx7/48/10183384/10061854.pdf?arnumber=10061854

Reference66 articles.

1. Communication Infrastructure and Cloud Computing in Robotic Vessel as-a-Service Application

2. Data Gathering from a Multimodal Dense Underwater Acoustic Sensor Network Deployed in Shallow Fresh Water Scenarios

3. Robotic service concepts for the port of tomorrow: Developed via a small-scale demonstration testbed

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1. A multi-task segmentation and classification network for remote ship hull inspection;Ocean Engineering;2024-06

2. Implementation of 802.11b/g/n Standards in 2.4GHz WLANs using MikroTik Equipment;2024 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR);2024-05-16

3. Quantifying Sparsity of Underwater Acoustic Channel: Field Measurement and Analysis;IEEE Sensors Journal;2024-02-01

4. Internet of Underwater Things: A Survey on Simulation Tools and 5G-Based Underwater Networks;Electronics;2024-01-23

5. Underwater Target Detection Using Deep Learning: Methodologies, Challenges, Applications, and Future Evolution;IEEE Access;2024

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