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Conventional practices in Urban Search and Rescue (USAR) operations have a great potential for improvement as regards information management. This paper presents a method for automated information processing of uncertain search results produced by multiple agents. Information association is based on graph analysis which considers georeferences, spatial(More)
We present lessons learned in Urban Search and Rescue (USAR) research within the framework of the German research project I-LOV. After three years of development first field tests have been carried out by professionals such as the Rapid Deployment Unit for Salvage Operations Abroad (SEEBA). We present results from evaluating search teams in simulated USAR(More)
This paper describes a soft robot concept which is conceived to propagate autonomously with respect to energy through confined or obstructed environments with a worm-like microactuator array of small size. As introduction, a short review of the various biomechanics of worms is presented that enabled the elaboration of the propagation concept. Discrete(More)
This paper presents presents a study on eciency of Urban Search and Rescue (USAR) missions that has been carried out within the framework of the German research project I-LOV. After three years of development, first field tests have been carried out in 2011 by professionals such as the Rapid Deployment Unit for Salvage Operations Abroad (SEEBA). We present(More)
This paper presents the I-LOV system which is the result of a homonymous German integrated research project aiming at improving <i>Urban Search And Rescue</i> (USAR). It comprises three search technologies for the detection and localization of trapped or buried unconscious victims and auxiliary assisting technologies. Victims can be localized through their(More)
This paper presents presents a study on eciency of Urban Search and Rescue (USAR) missions that has been carried out within the framework of the German research project I-LOV. After three years of development, first field tests have been carried out in 2011 by professionals such as the Rapid Deployment Unit for Salvage Operations Abroad (SEEBA). We present(More)
Association of spatial information about targets is conventionally based on measures such as the Euclidean or the Mahalanobis distance. These approaches produce satisfactory results when targets are more distant than the resolution of the employed sensing principle, but is limited if they lie closer. This paper describes an association method combined with(More)