Opendata, web and dolomites

SemanticCity SIGNED

Structuring Raw Scans

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

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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.

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

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

Leaflet | Map data © OpenStreetMap contributors, CC-BY-SA, Imagery © Mapbox

 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. '

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

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