Quirin Hamp

Learn More
– 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)
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)
  • 1