Katrin Matthes | Renault

CTO Renault Software Labs, Expert Leader Connected

Katrin Matthes is Chief Technical Officer at Renault Software Labs and Expert Leader for Connected Vehicle in Renault’s Filière Expertise. As CTO Katrin is responsible of SW technology roadmaps and innovation. As expert leader in Renault’s expert network she works transversally within Renault on connected vehicle areas including connectivity technologies, infotainment, connected services, onboard-offboard architectures, etc. and she also represents Renault in external forums.
Prior to joining Renault, Katrin hold a Platform SW Lead Architect position for Android based smartphone, tablet and automotive infotainment platforms covering overall SW architecture and integration of different technology domains (video, graphics, camera, display, audio, sensors, security, power management, etc.).
Before Intel, Katrin worked 17 years at Texas Instruments where she served in different roles (SW development, management, architecture, …).
She holds a master’s degree and double diploma in Electrical Engineering and Telecommunications from University of Karlsruhe (KIT) and INPG (Institut National Polytechnique de Grenoble).

11:20 - 12:00

Thursday, November 19

Software Defined Vehicle – Opportunities and Challenges


The Software Defined Vehicle (SDV) is part of the digital transformation occurring in the automotive industry. E/E architectures are evolving from highly distributed architecture based on many different ECUs towards centralized (also called zonal) architectures. SDV delivers vehicle functions enabled by software relying on vehicle HW abstraction and adoption of service-oriented architectures (SOA).
The centralization of vehicle functions with shared service layers reduces the complexity of interaction between vehicle functions that is growing exponentially in distributed architectures with the number of ECUs; at the same time, it increases the complexity of central compute platforms and SW stacks.
The presentation addresses the opportunity of enabling large ecosystems to create rich service offerings and explains technical and non-technical challenges related to SDV.