Transforming software-defined vehicles with neural-style embedded design

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By Yoann Foucher, Marketing Director, STMicroelectronics

As automotive markets adopt flexible, software-defined vehicles, AI lets engineers deliver high-value features that are too complex for traditional rules-based systems and too time consuming to develop using conventional tools. By adopting neural-style embedded design, teams can compress time to market for new products that deliver improved end-user experiences, while also easing compliance with safety legislation.

Two specific use cases demonstrate how AI running on an MCU can handle variables that are difficult to control properly across a wide range of operating conditions using traditional code. The first addresses the mechanical and electrical challenges associated with controlling a powered sliding-door for a commercial van or a passenger minivan. The second quickly and accurately identifies the signatures of electrical conditions that can lead to arcing in 48V vehicle wiring and modules, letting the system react to ensure safety.

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