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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.

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

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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