Training and support system in the cloud for improving the situational awareness in Search and Rescue (SAR) operations

Michal Pelka, Karol Majek, Janusz Bedkowski, Pawel Musialik, Andrzej Maslowski, Geert De Cubber, Haris Balta, Antonio Coelho, Ricardo Goncalves, Ricardo Baptista, Jose Manuel Sanchez, Shashank Govindaraj

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

In this paper, a Training and Support system for Search and Rescue operations is described. The system is a component of the ICARUS project (http://www.fp7-icarus.eu) which has a goal to develop sensor, robotic and communication technologies for Human Search And Rescue teams. The support system for planning and managing complex SAR operations is implemented as a command and control component that integrates different sources of spatial information, such as maps of the affected area, satellite images and sensor data coming from the unmanned robots, in order to provide a situation snapshot to the rescue team who will make the necessary decisions. Support issues will include planning of frequency resources needed for given areas, prediction of coverage conditions, location of fixed communication relays, etc. The training system is developed for the ICARUS operators controlling UGVs (Unmanned Ground Vehicles), UAVs (Unmanned Aerial Vehicles) and USVs (Unmanned Surface Vehicles) from a unified Remote Control Station (RC2). The Training and Support system is implemented in SaaS model (Software as a Service). Therefore, its functionality is available over the Ethernet. SAR ICARUS teams from different countries can be trained simultaneously on a shared virtual stage. In this paper we will show the multi-robot 3D mapping component (aerial vehicle and ground vehicles). We will demonstrate that these 3D maps can be used for Training purpose. Finally we demonstrate current approach for ICARUS Urban SAR (USAR) and Marine SAR (MSAR) operation training.

OriginalspracheEnglisch
Titel12th IEEE International Symposium on Safety, Security and Rescue Robotics, SSRR 2014 - Symposium Proceedings
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)9781479941995
DOIs
PublikationsstatusVeröffentlicht - 21 Jan. 2014
Veranstaltung12th IEEE International Symposium on Safety, Security and Rescue Robotics, SSRR 2014 - Hokkaido, Japan
Dauer: 27 Okt. 201430 Okt. 2014

Publikationsreihe

Name12th IEEE International Symposium on Safety, Security and Rescue Robotics, SSRR 2014 - Symposium Proceedings

Konferenz

Konferenz12th IEEE International Symposium on Safety, Security and Rescue Robotics, SSRR 2014
Land/GebietJapan
OrtHokkaido
Zeitraum27/10/1430/10/14

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