PiuPiuDefense — C++ Simulation Backend

This repository contains my contribution to PiuPiuDefense, a collaborative prototype developed during the European Defense Tech Hackathon, Sweden Edition.

PiuPiuDefense explored how simulation, machine learning and rule-based decision logic could be combined to evaluate multiple simultaneous UAS threats and support threat-prioritisation decisions.

My Contribution

I developed the C++ 2D kinematic simulation backend used to generate synthetic multi-threat scenarios and export telemetry data for downstream machine-learning and visualisation components.

The simulation includes:

• randomised threat and target scenario generation;
• multiple simulated threat categories with different speeds and motion parameters;
• target-seeking trajectory modelling;
• heading correction and turn-rate constraints;
• simplified lateral acceleration, velocity control and drag effects;
• simulated sensor noise for measured positions;
• target impact and map-boundary detection;
• risk-level labelling based on threat and target categories;
• telemetry export to CSV for later processing.

Output

The simulation generates a SimOut.csv file containing time-series data such as:

• true and measured positions;
• normalised measured coordinates;
• velocity and direction components;
• speed and heading;
• target information;
• risk level;
• damage potential;
• simulation time.

Project Context

This code was developed as part of a larger collaborative hackathon prototype. My work focused specifically on the simulation and data-generation component.