The AIDERS project aims at developing application-specific algorithms and novel mapping platform that will harness the large volume of data that first responders are now able to collect through heterogeneous sensors (including visual, thermal and multispectral cameras, LIDAR, CBRN sensors, etc.) on-board RPAS units, and converting that data into actionable decisions for improved emergency response. To address this challenge, the AIDERS project will capitalize on:

1. the long-lasting collaboration of the first responder and technical partners in the consortium to identify which information needs to be extracted from the collected data,

2. design online machine learning algorithms to process and analyse the received data in real-time in order to build knowledge maps, and

3. implement novel visualizations that higher-command can use to take intelligent decisions.

Field exercises and training activities will be conducted to evaluate the integration and performance of the outputs. All the project outcomes have an international outreach and are applicable to civil protection as well as other first responder agencies.