Fusion von Informationen bei Ortungs- und Bergungseinsaetzen

摘要

Conventional practices of Urban Search and Rescue (USAR) operations have a great potential for improvement as regards information management. The approach to information management presented here is based on centralized data storage enabling spatio-temporal, highlevel information fusion. It has been implemented in a software called FRIEDAA (Functional Remote Information Exchanger with Developing Aggregation Algorithm) which performs information collection, visualization and processing. Information aggregation is based on graph analysiswhich considers georeferences, spatial precision and pre-existing knowledge. The objective of the scoring fusion is to suggest as quickly and as precisely as possible the hypothetic position of a trapped person by increasing the quality of uncertain information. The overall aimis to ameliorate the search efficiency by increasing the detection capabilities while reducing risks, false alarms and oversight.