Modeling and Simulation
Models can be a simple representation of projectile motion or they can represent a culmination of multiple simultaneous physical phenomena. The primary goal of modeling is to make the models useful. DRA has repeatedly demonstrated success by using our collective expertise to model and simulate real world problems which can then be used to find real world solutions.
DRA can model target kinematics in 3D space for developing detection and tracking algorithms. Under NATO research programs, DRA has developed multi-physics models for electro-mechanical systems subject to external gravitational and aerodynamic forces. With the integration of Generative Adversarial Networks (GANs) and computer aided designs (CAD), DRA generated artificial image distributions of UASs to be used in training counter-UAS (CUAS) detection algorithms under DARPA. Along with this, DRA has implemented system physical models for real-time hardware-in-the-loop testing of aircraft components. Whatever the project, DRA can help you find the most advantageous modeling approach for your project.
- Machine Learning (ML)
- Artificial Intelligence (AI)
- Deep Neural Networks
- Generative Adversarial Networks (GAN)
- Convolutional Neural Networks (CNN)
- Synthetic Modeling
- Synthetic Imagery
- Fast Line-of-sight Imagery for Target and Exhaust-plume Signatures (FLITES)