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Cloudonomous - Cloud Autonomy

  • Report
  • 50 Pages
  • November 2019
  • Region: Global
  • AROBOTNX
  • ID: 4863421

Cloudonomous Framework for Marine Autonomous Systems brings innovation in blending the sensors and autonomy with the cloud by offering decisions driven through the cloud. It also provides a high degree of processing data information.


In this report, there is a clear strategy of how ATON - Autonomously taking action framework, provides decisions from different locations who are authorized to control the vehicle. It provides knowledge and proof of IoUT - Internet of Underwater Things, that communicates to and from the vehicle and how the future is lead from there.


The report also brings a new strategy of Using Cloud-Based Data acquisition and processing with many strategic decisions to be made for Energy, Renewables, Ocean Mapping, Aquaculture, Defense, and Ports Critical Decisions to be made with the complex structure information as well unstructured information leads to progressive results.


This Framework is very much utilized by Energy Professionals, Marine Subsea, Hydrography, Geomatics Surveyors, and AI for Marine. There has been a blended fusion of sensors together that brings the much-expected optimization. This offers the best decision Sensors such as GNSS, Inertial, Underwater Acoustics, and Sonars forms the basic requirement of data fusion and processing.


Who is this report for?


Any Start-ups, Commercial Hydrography and Ocean-based Mapping Companies, and ROV Companies who are looking for to perform control/ acquisition through the cloud in the offshore environment with limited communication bandwidth and budgets.


Residential AUV/ROV/Collaborative Systems would utilize this platform for their development and research.


Countries Covered:


  • Algeria
  • Australia
  • Azerbaijan
  • Bangladesh
  • Belgium
  • Canada
  • China
  • Croatia
  • Cyprus
  • Denmark
  • Egypt
  • Estonia
  • Finland
  • France
  • Germany
  • Greece
  • Indonesia
  • Israel
  • Italy
  • Japan
  • Kuwait
  • Malaysia
  • Malta
  • New Zealand
  • Norway
  • Oman
  • Qatar
  • Saudi Arabia
  • Singapore
  • South Africa
  • South Korea
  • Sweden
  • Switzerland
  • UAE
  • USA
  • Vietnam

Table of Contents

1. Introduction to Marine Autonomous

2. Sensors

3. Applications

4. AI/ML in Autonomous Systems

5. Introduction to Cloudonomous

6. MOOS IvP and ATON

7. Cloud Implementation and IoUT

8. AI Algorithm on Marine autonomy

9. Vehicle Implementation

10. Advantages of Cloudonomous


Companies Mentioned

  • Amazon Web Services
  • ASV Global
  • Blue Robotics
  • Kongsberg Maritime
  • Liquid Robotics
  • Rolls Royce Marine