Want to know more?

Other case studies

The goal is to determine the real-time position and velocity of various moving objects based on Doppler travel time and displacement measurements provided by a passive radar.

**Problem Analysis**

The project solution requires analysis of the information received from the passive radar and exclusion of false and lost measurements, as well as analysis of the unknown association between measurements and objects the measurement from multiple (multi-static) sources.

**Method of Intervention and Solution**

We proposed a solution that combines optimization techniques for trace initialization with advanced multi-target tracking and sensor fusion techniques.

**Results and Benefits**

The methods that were used allow to obtain the effective identification of objects.

Aerospace & Defense

Object tracking in real time: find out how Data Fusion techniques allow you to identify and track objects using radar data analysis!

Real-Time Object Tracking

Leverage real-time data and forecasts to optimize control system decisions

Model Predictive Control

Object tracking using passive radar

The combination of optimization and optimal control techniques, which DEIX is able to offer, is fundamental in all of those contexts in which the decision-making problem to be solved is **dynamic**, i.e. it requires a **planning of decisions over time**. For example, in the management and control algorithms necessary for the correct operation of an automation system or in decision support in management and logistics. In fact, the introduction of a feedback mechanism in the decision-making process allows the proposed solution to **adapt** in a natural way **to all possible variations** from the expected behavior.

Control and decision optimization combines **predictive mathematical models** (describing the objectives and constraints of the decision problem and its evolution over time) with **learning from data** and **reinforcement learning** techniques if the models are not known analytically. 

In the context of complex learning, control, decision and optimization problems, knowledge extraction from heterogeneous data and **sensors** plays a key role. In this area, Deix provides **sensor & data fusion** solutions that combine mathematical models with statistical inference techniques, learning from data and artificial intelligence. 

These solutions enable the creation of **virtual sensors**, i.e., algorithms that can provide accurate real-time estimates of quantities of interest beyond those that can be directly measured.

This type of approach finds a natural application in the implementation of **Digital Twins** of processes and products.

Sensor Data Fusion, Optimal control & Digital Twin: we create algorithms for processes optimization in order to better support business decisions.

Real Time Object Tracking

Other case studies

Data-driven Control System

Data Augmentation on Satellite Images