Opendata, web and dolomites

SemanticCity SIGNED

Structuring Raw Scans

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 SemanticCity project word cloud

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

multiple    ar    simulation    massive    semanticcity    man    industries    augmented    generation    computation    sqm    producing    cleaned    software    energy    companies    3d    utilized    proof    partnership    urban    models    small    semantically    suite    blocks    bottleneck    exist    annotations    structured    algorithms    utilize    majority    sources    councils    soups    labels    commercialize    data    form    sqkm    scan    cities    days    reduce    local    company    consolidated    datasets    utilizing    procedural    agencies    few    automating    workflows    uk    erc    archives    largely    manual    smartgeometry    output    modeling    unfeasible    annotated    polygonal    location    governmental    hours    street    semantic    accurate    app    efficiency    easily    city    developer    course    planning    meaningfully    pointclouds    downstream    hence    times    automatically    london    weeks    economic    spaces    services    tagged    1500    500    scans    raw    ing   

Project "SemanticCity" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITY COLLEGE LONDON 

Organization address
address: GOWER STREET
city: LONDON
postcode: WC1E 6BT
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 United Kingdom [UK]
 Total cost 150˙000 €
 EC max contribution 150˙000 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2018-PoC
 Funding Scheme ERC-POC
 Starting year 2018
 Duration (year-month-day) from 2018-11-01   to  2020-04-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY COLLEGE LONDON UK (LONDON) coordinator 150˙000.00

Map

 Project objective

'Many massive data sources now exist for large scale 3D measurements in the form of raw pointclouds or polygonal soups. Such raw data, however, have to be cleaned, consolidated, and semantically annotated before they can be consumed by downstream applications (e.g., augmented reality, procedural modeling, energy simulation, etc.). This manual step is a major processing bottleneck resulting in significant economic and efficiency costs. For example, state-of-the-art workflows in location-based services and urban planning industries easily take 2-3 man days to produce accurate semantic labels for small spaces (500-1500 sqm), or several man weeks for a few blocks of street (2-5 sqkm). This makes large-scale semantic annotations unfeasible, and hence, majority of the raw scan data archives remain under-utilized.

The proposed 'Proof-of-Concept' SemanticCity aims to pre-commercialize a novel software suite utilizing algorithms developed in course of the ERC-funded SmartGeometry project for automating generation of semantically structured models from raw 3D scans of cities to enable next generation augmented reality (AR), urban planning, and semantically tagged location-based services. SemanticCity, in partnership with a major European AR company, a large UK-based city developer, and London local councils, will address this challenge by automatically producing structured output directly from raw 3D measurements, reduce computation times from days/weeks to hours, and evaluate the structured output via the AR City app on multiple large-scale datasets. As case studies, we will work with governmental agencies and identified partner companies to meaningfully utilize their large archives of 3D measurements which are currently largely under-utilized. '

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

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

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

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