Deriving Spatial Data from Volunteered Geographic Information

Información del proyecto

VGI_SLAM

Identificador del acuerdo de subvención: 327710

Proyecto cerrado

Fecha de inicio 1 Septiembre 2013

Fecha de finalización 31 Agosto 2015

Financiado con arreglo a

• Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)

Coste total € 177 631,20

Aportación de la UE € 177 631,20

Coordinado por

UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN
Ireland

Objetivo

Recent years have seen the widespread engagement of large numbers of private citizens in the creation of spatial data. These contributors, commonly referred to as “citizen sensors”, often have no formal qualifications in performing a task which was traditionally reserved to official mapping agencies. This paradigm of crowd sourced spatial data is commonly referred to as Volunteered Geographic Information (VGI) (Goodchild, 2007). The greatest concern when using any form of spatial data is its quality. Therefore the data derived from VGI should be of the highest possible quality and it is necessary to be able to make statements about this quality. These tasks are complicated by the fact that VGI may be captured with inaccurate devices, lacking detail and in some cases inconsistent. Consequently there exists a degree of uncertainty associated with VGI which must be considered if one is to derive accurate spatial data.
The overall objective of the proposed research project is the development of new methodologies for deriving spatial data from VGI using a probabilistic formulation. We proposed to draw heavily from methodologies developed in the domain of robotics and specifically the sub-domain of Simultaneous Localization And Mapping (SLAM).
Dr. Corcoran has much previous research experience in VGI and SLAM, and therefore is a suitable candidate to carry out the project in question. Prof. Leonard of Massachusetts Institute of Technology (MIT) and Dr. Bertolotto of University College Dublin (UCD) are experts in the areas of robotics and geographical information science respectively. Their institutes therefore represent suitable hosts for Dr. Corcoran. The result of this fellowship will be a significant and long lasting transfer of knowledge and skills from MIT to UCD.

Ámbito científico (EuroSciVoc)

CORDIS clasifica los proyectos con EuroSciVoc, una taxonomía plurilingüe de ámbitos científicos, mediante un proceso semiautomático basado en técnicas de procesamiento del lenguaje natural. Véase: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.

• ingeniería y tecnología › ingeniería eléctrica, ingeniería electrónica, ingeniería de la información › ingeniería electrónica › sensores
• ingeniería y tecnología › ingeniería eléctrica, ingeniería electrónica, ingeniería de la información › ingeniería electrónica › robótica

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Programa(s)

• FP7-PEOPLE - Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)

Tema(s)

• FP7-PEOPLE-2012-IOF - Marie Curie Action: "International Outgoing Fellowships for Career Development"

Convocatoria de propuestas

FP7-PEOPLE-2012-IOF
Consulte otros proyectos de esta convocatoria

Régimen de financiación

MC-IOF - International Outgoing Fellowships (IOF)

Coordinador

UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN

• Aportación de la UE: € 177 631,20
• Dirección: BELFIELD ; 4 Dublin ; Irlanda
• Región: Ireland › Eastern and Midland › Dublin
• Tipo de actividad: Higher or Secondary Education Establishments
• Coste total: Sin datos