Paul holds a B.S./M.S. in Aerospace Engineering from The University of Colorado at Boulder and a Ph.D. in Aerospace Engineering from The University of Texas at Austin. Paul has over 8 years of industry experience, which includes extensive design, modeling, and analysis of complex GN&C systems for the US Navy and NASA using MATLAB and Simulink. Paul joined the Application Engineering Group at MathWorks in Galway, Ireland in August 2017. Since then Paul’s interests and skills have focused on image processing, computer vision, and machine/deep learning.
|1. Overview of the advantages and disadvantages of radar and lidar|
|2. How to address common challenges using AI with radar and lidar, such as:|
|labelling data and/or lack of data|
|unfamiliarity with AI models|
|3. Highlights from other radar, sensor fusion, and UAV capabilities|
|4. Resources for getting started|