Opendata, web and dolomites

Rubedo CVM SIGNED

FEASIBILITY STUDY FOR THE RUBEDO CVM – INNOVATIVE OPTICAL COMPUTER VISION MODULE FOR UNMANNED VEHICLES

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 Rubedo CVM project word cloud

Explore the words cloud of the Rubedo CVM project. It provides you a very rough idea of what is the project "Rubedo CVM" about.

manufacturers    extract    tested    solution    truly    commercialization    sense    stone    maintenance    validating    standalone    visual    universally    successfully    cvm    driving    market    vehicles    data    skills    multiple    optical    images    business    acquire    free    learning    vehicle    robots    feasibility    adequately    situation    successful    appreciated    robotics    detect    organize    unmanned    replication    thorough    objects    stay    adaptively    machines    unable    elaboration    distances    obstacles    time    roadmap    preparation    robot    rubedo    drones    standard    paths    serve    vision    trained    definition    power    motion    first    prototype    deep    forces    surrounding    mobile    something    environmental    alone    module    compact    act    sistemos    investor    natural    stand    one    stepping    provides    generation    resolution    affordable    computer    perception    autonomous    box    accurate    standardized    object    designed    longer    plan    readiness    interpret    cots    robotic    3d    environment    integrators   

Project "Rubedo CVM" data sheet

The following table provides information about the project.

Coordinator
UAB RUBEDO SISTEMOS 

Organization address
address: K. BARSAUSKO ST. 59
city: KAUNAS
postcode: 51423
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Lithuania [LT]
 Project website http://www.rubedos.com/company/news-events/sme-instrument-phase1-grant-agreement-signed
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
2. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument)
 Code Call H2020-SMEINST-1-2016-2017
 Funding Scheme SME-1
 Starting year 2017
 Duration (year-month-day) from 2017-12-01   to  2018-05-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UAB RUBEDO SISTEMOS LT (KAUNAS) coordinator 50˙000.00

Map

 Project objective

One of the major driving forces for the depth perception market is the increasing use of mobile robots and drones for multiple applications. Without reliable vision and particularly depth perception unmanned vehicles are unable to detect obstacles and adaptively plan motion paths. Moreover, the new generation of robotic machines strongly depend on the ability to acquire, organize, and interpret surrounding visual data in real-time in order to stay aware of the environmental situation and act adequately. Robot and autonomous vehicle manufacturers or system manufacturers do not have the necessary skills, knowledge and know-how for computer vision development, therefore they would much rather use a standard computer vision solution. Currently in the market there is no truly affordable standardized stand-alone COTS 3D computer vision solution, which is capable of high resolution low power long range real-time optical depth sense with deep learning based natural object perception capabilities out of box – something, that is universally appreciated by many mobile robotic system manufacturers and integrators. Rubedo Sistemos has already developed and successfully tested a prototype of CVM (computer vision module) – the first affordable, compact low power long-range high-resolution real-time depth sense technology for 3D perception at longer distances for mobile robotics. Rubedo CVM has been designed as a maintenance-free standalone product which provides high definition images, accurate measure of the environment depth, and can be trained to extract natural objects of interest in real-time. Thorough analysis of market and user needs as well as an elaboration of a business plan is needed in order to ensure successful commercialization of Rubedo CVM. This feasibility study will help validating the market in addition to providing a stepping-stone for future preparation of investor readiness as well as serve as a roadmap for market replication of the product.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "RUBEDO CVM" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "RUBEDO CVM" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.2.1.1.;H2020-EU.2.3.1.)

WIMUACT (2017)

TECHNOLOGY FOR THE IMPROVEMENT OF SPORTS PERFORMANCE IN NON-PROFESSIONAL CONTEXTS

Read More  

Enterprise BIM (2017)

Enterprise BIM digitization platform feasibility verification

Read More  

Assist (2015)

Telocate ASSIST – Development and marketing of an acoustic solution for localization and navigation of people in buildings using the smartphone

Read More