Software-defined vehicles can offer increasingly intelligent capabilities enabled by continuous data flow between components that perform various functions including sensing, situational awareness, navigation, planning, control, and actuation.
This talk will highlight the key requirements, standards, and techniques for building trustworthy software defined vehicles, using a layered data-centric architecture that protects the data in motion between software components.
We will define the core pillars of trustworthiness, and describe how the principles of data-oriented software system design are being applied to implementing intelligent driving tasks. The approach provides a framework for ensuring the desired degree of trustworthiness in the system while also reducing the overall software development costs.