Video length is 19:27

Embedded AI for Body Applications with MATLAB and Simulink

Athulya Thazha, Mercedes-Benz Research and Development India Private Limited
Shubham Kale, Mercedes-Benz Research and Development India Private Limited

At the outset of our project aimed at advancing smarter next-generation body interiors, we encountered several challenges: acquiring a technological edge without disrupting existing development processes, addressing tool dependencies, and deploying solutions on resource-constrained devices.

In this session, we describe how we developed an efficient embedded AI workflow, encompassing everything from machine learning concept design to code generation and deployment on the target ECU, all while integrating seamlessly with our existing processes.

This project was executed in collaboration with MathWorks India, leveraging Statistics and Machine Learning Toolbox™, Deep Learning Toolbox™, and automatic code generation to accelerate the deployment of vehicle software. The use of neural network optimization, quantization, and projection techniques has the potential to significantly minimize memory usage and computational demands, enabling deployment on resource-constrained devices.

This project establishes a basis for future embedded AI development in body and comfort systems, and we are in the process of integrating this workflow into our current development process.

Published: 22 Dec 2024