Best of LinkedIn: Next-Gen Vehicle Intelligence CW 33/ 34

We curate most relevant posts about Next-Gen Vehicle Intelligence on LinkedIn and regularly share key takeaways.

This edition primarily discuss the transition to Software-Defined Vehicles (SDVs) and the advancement of autonomous driving (AD). Several authors highlight the automotive industry's current lag in software innovation compared to other tech sectors, emphasising the need for a shift from hardware-centric to software-led development. This transformation involves addressing challenges such as system fragmentation, regulatory complexities, and legacy workflows, while also considering new architectural approaches like domain and zonal architectures. Discussions also explore the impact on Tier 1 suppliers, the role of AI and digital twin technologies in development, and the debate surrounding open-source versus established platforms like AUTOSAR for middleware. Furthermore, the texts provide updates on the rapid progression of autonomous driving technology, detailing different levels of autonomy, the importance of simulation and verification for safety, and the ongoing efforts by companies like Waymo and Tesla in robotaxi services and the development of personally-owned L4 autonomous vehicles. The narratives also touch upon consumer trust in new technologies, the economic implications of software-defined features, and the geopolitical shifts driven by advanced automotive chip development.

This podcast was created via Google NotebookLM.