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.

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

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.)

Digiteal (2016)

Digiteal: European Payment and e-Invoicing platform

Read More  

REALM (2015)

A disruptive method to free physicians from Hospital Information Systems by generating fault free patient diagnostic documents in real-time using natural language

Read More  

WIMUACT (2017)

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

Read More