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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.

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

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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