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Rubedo CVM SIGNED

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

Total Cost €

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EC-Contrib. €

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Partnership

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 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.

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

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.

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

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