Integration of Python-Based AI Models with Simulation and Hardware Deployment

Integrating ECU (electronic control unit) development with OEMs (original equipment manufacturers) in the fast-paced automotive industry presents a significant challenge. TS TECH aims to enhance vehicle interior comfort using AI technology, which requires the integration of vehicle control functions (developed in C language for ECUs) with AI models developed in Python^®. They have leveraged MATLAB^® and Simulink^® to successfully bridge this gap, enabling the creation of complex simulation models, which include AI models, for ECU implementation.

With the support of MathWorks Consulting Services, TS TECH has developed a real-time system for estimating driver fatigue during vehicle operation. This session will detail their journey, focusing on overcoming integration challenges by using MATLAB and Simulink as the core platform. Their approach facilitates the transition from Python to MATLAB and Simulink, and finally to C code, to be suitable for ECU deployment.

You will learn how TS TECH strategically used MATLAB and Simulink to merge high-level AI development with the technical needs of automotive ECUs. You will also gain insight into the algorithms and technologies used, the project's goals, and how MATLAB and Simulink have been instrumental to its' success.