Prediction and Response of Effectors on Critical Infrastructure and Structural Environments

Current conflicts, such as those in Ukraine, the Middle East and the South China Sea, highlight the urgent requirement for advanced modelling tools to evaluate the effects of military operations on civilian infrastructure. To address these challenges, PRECISE offers three key features:
1. High-resolution imagery collected from satellites and sensors (IR/EO, SAR and LIDAR) is annotated.
2. AI-driven algorithms extract detailed information about structures, identifying vulnerabilities and patterns.
3. PRECISE simulates various scenarios, including the impact of munitions on structures. This helps military planners to predict damage and make informed decisions to minimise collateral damage.

In line with the EDF-2024-LS-RA-CHALLENGE-SPACE-MSIAO, PRECISE incorporates four iterations to enable ongoing refinement. The project integrates outputs from the SPACE-MSIAO Challenge to improve data quality, modelling accuracy and predictive capabilities.
Furthermore, PRECISE contributes to the PESCO AMIDA-UT (Automated Modelling, Identification and Damage Assessment of Urban Terrain) initiative by providing tools for urban terrain analysis and damage prediction to enhance decision-making.

The PRECISE project is financed by the European Commission through the European Defence Fund under grant 101224145.