Mini Guardian
Building a Scaled-Down NASAMS Air Defence System
Mini Guardian aims to develop a scaled-down version of the NASAMS air defence system. Students work on integrating LiDAR, imaging systems and machine learning-based detection algorithms to identify and classify airborne objects. Objects considered relevant targets can then be engaged by a scaled-down effector inspired by a NASAMS launcher.
The project requires close interaction between software, sensors and mechanical components. Students work with computer vision, machine learning models, sensor processing, tracking algorithms and integration of multiple subsystems into a complete solution.
A major part of the work involves ensuring that independent modules function together as a reliable system, providing valuable experience in systems engineering and integration.
Technologies and Areas
- LiDAR
- Computer Vision
- Machine Learning
- Sensor integration
- Systems engineering
- Object detection and classification
- Embedded and software development