Opendata, web and dolomites

SemanticCity SIGNED

Structuring Raw Scans

Total Cost €


EC-Contrib. €






 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.

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

Project "SemanticCity" data sheet

The following table provides information about the project.


Organization address
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


Take a look of project's partnership.

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


 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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