Now showing 1 - 3 of 3
  • Publication
    Dynamic configuration of distributed systems for disaster management
    In natural and man-made disasters, it is a necessity for rescue teams to get a quick overview of the situation in place. Robot-supported sensor networks are increasingly used to accelerate surveillance and search operations in complex situations. An appropriate robust system architecture has to support dynamical changes in connectivity as well as in number and type of robots and sensors in action. The proposed solution for a dynamic configuration of a distributed system with heterogeneous sensors and robots for disaster management is based on the Robot Operating System (ROS). The configuration uses an active Information Module with access to the descriptions of the characteristics and capabilities of all relevant system components. The modular descriptions are based on XML standard. Every component has at least one description file with capabilities of the component and their relevant technical characteristics. Descriptions of complex components containing sub-components are hierarchically with references to descriptions of sub parts. Between the system components direct communication links can be established to make the distributed system more robust. External systems may also get information about available capabilities from the Information Module and request needed services directly from the components. The main task of this work is to introduce a dynamic but robust system architecture for controling complex heterogeneous sensor systems to support rescue forces in disaster relive.
  • Publication
    Situation responsive networking of mobile robots for disaster management
    ( 2014)
    Kuntze, Helge-Björn
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    Frey, Christian W.
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    Walter, Moriz
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    Müller, Fabian
    If a natural disaster like an earthquake or an accident in a chemical or nuclear plant hits a populated area, rescue teams have to get a quick overview of the situation in order to identify possible locations of victims, which need to be rescued, and dangerous locations, hich need to be secured. Rescue forces must operate quickly in order to save lives, and they often need to operate in dangerous enviroments. Hence, robot-supported systems are increasingly used to support and accelerate search operations. The objective of the SENEKA concept is the situation responsive networking of various robots and sensor systems used by first responders in order to make the search for victims and survivors more quick and efficient. SENEKA targets the integration of the robot-sensor network into the operation procedures of the rescue teams. The aim of this paper is to inform on the objectives and first research results of the ongoing joint research project SENEKA.
  • Publication
    SENEKA - sensor network with mobile robots for disaster management
    ( 2012)
    Kuntze, Helge-Björn
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    Frey, Christian W.
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    Staehle, Barbara
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    ; ;
    Wenzel, Andreas
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    Developed societies have a high level of preparedness for natural or man-made disasters. But such incidents cannot be completely prevented, and when an incident like an earthquake or an accident in a chemical or nuclear plant hits a populated area, rescue teams need to be employed. In such situations it is a necessity for rescue teams to get a quick overview of the situation in order to identify possible locations of victims that need to be rescued and dangerous locations that need to be secured. Rescue forces must operate quickly in order to save lives, and they often need to operate in dangerous environments. Hence, robot-supported systems are increasingly used to support and accelerate search operations. The objective of the SENEKA concept is to network the various robots and sensor systems used by first responders in order to make the search for victims and survivors more quick and efficient. SENEKA targets the integration of the robot-sensor network into the operation procedures of the rescue teams. The aim of this paper is to inform on the goals and first research results of the ongoing joint research project SENEKA.