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    Cloudonomous - Low Cost Marine Autonomous Vehicle Framework to Map Seabed

    by Satish Ramachandran 05/20/2020 01:38 PM BST

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          Description

          Cloudonomous (Cloud + Autonomy) - 3 Years Research developed for Students, researchers and ocean enthusiasts to map oceans with most convenient low cost marine autonomous vehicle available on the market with high robust open source marine autonomous software from MIT MOOS-IvP along with AROBOT Hardware, ATON Framework and Cloud Integration packages.

          Simple Research ROV with Cloudonomous Software Framework which are utilized to carry out any missions from collecting surface water samples, oceanographic studies such as Wave Monitoring, Current as well Seabed characterization and more seabed mapping applications not limiting to be integrated with Multibeam Sonar,Synthetic Aperture Sonar and laser Scanners

          Currently Inmarsat/Cobham/Kognifai Vessel Insight offering low cost Maritime IoT which can be integrated with the AWS Cloud to pilot the vehicle or transfer the data real time through cloud or vehicle autonomously performs its mission plan accordingly.

          Since there are very limited opportunities in India, we developed this framework so that students and researchers globally can know more about ocean mapping and use these modules to achieve it in lower cost. 

          Co-authors to your solution

          M Vijayarajan

          Link to an online working solution or prototype

          https://www.youtube.com/watch?v=sSvvPLuWsTs&t=28s

          Link to a video or screencast of your solution or prototype

          https://www.youtube.com/watch?v=regAhK2Umeo

          Link to source code of your solution or prototype above. (If you submitted a link to an online solution or prototype, or to a video of your solution of prototype, you must provide a link to the source code.)

          https://github.com/satishram/ATON---MOOS-IVP

          Seabed-Mapping,Autonomous-Underwater-Vehicle,Mission-Planning,IOT,Cloud-Computing,remotely-operated-vehicle

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