This includes pedestrian detection, lane keeping, over-the-air updates, cloud integration, and decision-making on the go. These capabilities are provided thanks to software, connectivity, and AI.
The evolution of vehicles into smart machines increases the complexity of their safe operation, which makes automotive functional safety an essential consideration when developing any modern car architecture. A vehicle fault cannot be limited to just a hardware malfunction anymore; it can also come as a software error, an unintended system interaction, and even an incorrect prediction from an AI model. That is why there is ISO 26262.
It ensures that safety is considered and complied with throughout all stages of development, providing the framework for creating a system that would be able to detect faults, handle failures, and work safely anyway.
Traditionally, the concept of automotive functional safety in automobiles has been limited to hardware components. If the hardware components were trustworthy and failures could be managed, then the automobile was safe. But that alone is not sufficient in today’s world, where Software Defined Vehicles depend on software to control critical functionalities, connected to cloud computing platforms to stay online, and where artificial intelligence is playing an increasingly significant role in determining driving decisions.
The task of developing a functionally safe vehicle involves ensuring safety in the very process of engineering each component of the automobile, from the hardware all the way through software, and even connected and intelligent features.