Building Embedded Vision Applications with MATLAB and NXP Vision Toolbox for S32V

Brian McKay, MathWorks
Daniel Popa, NXP

Overview

In this webinar we will show how to design and implement ADAS vision applications using MATLAB and Embedded Coder for NXP S32V microprocessors. We will use MATLAB to develop embedded vision algorithms and demonstrate an automated path to production implementation on NXP S32V MCUs. We will feature NXP’s Vision Toolbox for S32V, which has functions for modeling and simulation for an embedded target that generates highly optimized code for a NXP S32V234 MPU. We will show how it all works together with demos for Face Detection and Lane Detection applications.

About the Presenter

Brian McKay is a Technical Marketing Manager specializing in MathWorks solutions for embedded systems customers. He has been building customer solutions that combine MathWorks software with embedded hardware for over 20 years. He has B.S. and M.S. degrees in General Engineering from the University of Illinois Urbana-Champaign.

Daniel Popa is a Technical Lead in Automotive Microcontrollers and Processors Business Line at NXP. He graduated from the Politehnica University of Bucharest in Romania with a master degree in Electrical Engineering. He joined NXP in 2008 where he is responsible for Model-Based Design Software solutions for NXP Automotive Products.

Product Focus

Recorded: 10 Oct 2018

Building Embedded Vision Applications with MATLAB and NXP Vision Toolbox for S32V

Overview

About the Presenter

Product Focus

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