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.

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

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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