Overview
The next generation of aerospace systems of systems are characterized by an increasing amount of data generation and sharing. The availability of data in time impacts how fast the OODA loop can be executed, defines where the decision-making process takes place (centralized vs distributed), and conditions the different levels of autonomy of the system.
Engineers need to design, simulate, test, and deploy algorithms that perceive the environment, keep track of moving objects, and plan a course of movement for the system.
In this session, you will learn how MATLAB and Simulink can be used to develop perception, sensor fusion, localization, multi-object tracking, and motion planning algorithms, among others.
About the Presenter
Juan Valverde
Aerospace and Defence Industry Manager for EMEA, MathWorks, with expertise on the design of dependable embedded computing solutions for aerospace. Juan holds a PhD in Microelectronics by the Technical University of Madrid, Spain.
Alexandra Beaudouin
Aerospace and Defence Industry Manager for EMEA, MathWorks, with expertise on system engineering and embedded software design.
Jose Barriga
Application Engineering, MathWorks, with expertise in Artificial Intelligence, Signal Processing and Image Processing. Before MathWorks, Jose was a Lead Technical Specialist at Indra.
