GSS EU Science Funding Gateway

During operations, this should be performed in a limited time and possibly with limited available computing power. This is especially important for relatively large urban areas including many structures.

Software solutions for automated structural modelling and effect prediction should therefore be developed. They should offer the best possible accuracy, and trust should be ensured in the measurement of their performances. Given the complexity of the task, they need to rely not only on physics-based models but also on artificial intelligence, and they should be evaluated in an objective manner on data that is representative of the targeted use cases. This involves the collection and annotation of representative data. In order to ensure the reproducibility of experiments and for economic reasons, it is important that such data is reusable for similar developments, including by other technology developers. It also involves the testing of systems on new data using documented metrics and testing protocols, in a way that ensures comparability with similar systems developed by such other actors.

Models for the prediction of effects of weapons on structures are often used in conjunction with other models in decision support tools, for example to estimate freedom of manoeuvre or effectiveness of communication. Scalability and compatibility with such other models and tools should therefore be ensured.

Proposals must address the development and evaluation of software systems for modelling structures from multisource imagery and other relevant available data, and for accurately predicting the effects of weapons on these structures. This includes the collection of relevant databases for training and testing the systems.