Trusted Extremenly Precise Mapping and Prediction for Emergency Management

TEMA will develop state-of-the-art technologies focusing on real-time semantic extraction of  natural disaster data from multiple modalities and sources, on-the-fly construction of a meaningful semantically annotated area map and prediction of phenomenon evolution. Semantic analysis and geometric mapping computations will be distributed across the edge-to-cloud continuum according to needs, in a federated manner. The constantly updated map and the predictions will be used as the basis for an advanced, interactive, graphical simulation environment, where different possibilities for device/sensor deployment and response strategies can be dynamically evaluated by human handlers. The end result will be a state-of-the-art emergency response decision support system, dynamically exploiting multiple data sources and AI technologies for providing an accurate assessment of an evolving crisis situation. KAMK’s role is in the technical development of the visualisation, uniting the many data sources of TEMA into a user-friendly application for the end users.