Autonomous Vehicles & SDV

Learn how leading automotive software professionals keep pace with emerging trends in our 2025 State of Automotive Software Development Report.

The article explores the transformative potential of cloud-based simulation in the automotive industry. It highlights how leveraging cloud computing can enhance efficiency, scalability, and accessibil...

Florian Rohde, formerly of Tesla, discussed the challenges and opportunities in the development and implementation of Software Defined Vehicles.

This report highlights how middleware functionality was achieved in classic architecture ECUs which had mostly powertrain functionality and has evolved today for Connected and Autonomous vehicles.

Ahmed Yousif at Valeo addresses the major challenges for automated driving, focusing on simulation, testing, validation, and homologation, as well as the differences between L2, L2+, and L3 of autonom...

Automotive IQ interviewed Frank Ghenassia, Executive Chief Architect at General Motors to understand the impact of SDVs on the Automotive industry.

From Traditional Coding to the Use of Artificial Intelligence in Autonomous Vehicles

For the past few years, the automotive industry has invested heavily in autonomous vehicle product development. Even so, the rollout has been challenging and has not lived up to consumer expectations.

The article explores the transformative potential of cloud-based simulation in the automotive industry. It highlights how leveraging cloud computing can enhance efficiency, scalability, and accessibil...

Arnav Dhawan and Aaron Dale from S&P Global shed light on the transformative shift from hardware to software-defined vehicles (SDVs). In this combined-answer interview, both Arnav and Aaron provide a...

The Region's Only Dedicated SDV Event - Taking place on October 24-26

Explore AI/ML model development and the critical need for systematic testing practices in this detailed whitepaper.