UC3 - PPDR Situational intelligence and decision making for PPDR
Abstract
ExtremeXP platform uses analytics, personalization, and AI to boost fire detection, characterization, and operations in urban areas. Enhances first-responder awareness via automated alerts, assisted decisions, and task allocation—reducing response times. Key Phases: Detection: Automates video feed analysis for fire location, type, progress; generates validated alerts. Decision & Actuation: Suggests procedures, maps available on-field users, enables direct communication/task assignment. Supports two user types: operators (alert processing/decisions) and on-field responders. Dataset includes video feeds, alerts, user maps, procedural data, and simulation logs. Demonstrates ExtremeXP's value in real-time, mission-critical fire ops. Ideal for training AI models in situational awareness and personalization. Part of the ExtremeXP project, co-funded by the European Union Horizon Program HORIZON CL4-2022-DATA-01-01 under Grant Agreement No. 101093164. Project website: https://extremexp.eu/.
Fields of Study & Subjects
Fire Detection and Safety Systems
Fire dynamics and safety research
Military Strategy and Technology
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 26 February 2026
- Language
- EN
- Document type
- Dataset