Projekt

Rescuer

Reliable and Smart Analysis of Crowdsourcing Information for Emergency and Crisis Management

Reliable and Smart Analysis of Crowdsourcing Information for Emergency and Crisis Management

  • Laufzeit:

RESCUER aims at developing an interoperable solution that will support emergency and crisis management command centres in quickly handling emergencies and managing crises based on reliable and intelligent analysis of crowdsourcing information mashed up with open data. Two application scenarios will be especially investigated and supported by the RESCUER project: 1) emergency and crisis management in industrial areas such as chemical parks, and 2) for large-scale events such as the Football World Cup and the Olympic Games in Brazil. It is a joint project of the European Union and Brazil.

Partner

  • Fraunhofer IESE
  • FireServ, VOMATEC
  • Universidad Politécnica de Madrid (UPM)
  • Universidade Federal da Bahia (UFBA)
  • Instituto de Ciências Matemáticas e de Computação/Universidade de São Paulo (ICMC/USP)
  • MTM Tecnologia
  • Comitê de Fomento Industrial de Camaçari (COFIC)

Projekt teilen auf:

Ansprechpartner
Dr.-Ing. Tobias Franke

Keyfacts

Publikationen zum Projekt

Ulf Blanke, Gerhard Troster, Tobias Franke, Paul Lukowicz

In: Proceedings of the 9th international conference on Intelligent Sensors, Sensor Networks and Information Processing. International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP-2014) April 21-24 Singapore Singapore Seiten 1-7 ISBN 978-1-4799-2842-2 IEEE 4/2014.

Zur Publikation

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence