Navigating the Complexities of Software-Defined Vehicle Development

As the automotive industry shifts to a software-defined future, engineering teams face tough choices: which programming languages and platforms to use, AUTOSAR Adaptive versus proprietary OS, build versus buy, commercial versus open-source tools, and V-cycle versus Agile methodologies.

This presentation shows how MathWorks helps customers move beyond these either/or decisions by embracing the “power of AND.” Discover how virtualization enables the development and testing of ECUs, SoCs, full vehicle models, and real-world scenarios. See how flexibility in algorithm development and cloud collaboration maximizes reuse, compliance, and certification. Learn how aligning system and software engineering practices results in robust, reliable automotive software. Finally, explore how AI and automation can unlock new levels of efficiency in automotive software development.

Watch this keynote address and see how MathWorks can help your team thrive in the evolving automotive landscape.

Thumbnail image credit: Matthias Baumgartner