Opendata, web and dolomites

SemanticCity SIGNED

Structuring Raw Scans

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 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.

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

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.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

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

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.1.)

evolSingleCellGRN (2019)

Constraint, Adaptation, and Heterogeneity: Genomic and single-cell approaches to understanding the evolution of developmental gene regulatory networks

Read More  

RODRESET (2019)

Development of novel optogenetic approaches for improving vision in macular degeneration

Read More  

IMMUNOTHROMBOSIS (2019)

Cross-talk between platelets and immunity - implications for host homeostasis and defense

Read More