Autonomous Vehicles & SDV
Autonomous cars combine a variety of techniques to perceive their surroundings, including radar, laser light, GPS, odometry, and computer vision. Advanced control systems interpret sensory information to identify appropriate navigation paths, as well as obstacles and relevant signage.
The Evolution and Engineering of Advanced Chassis Systems in the Commercial Vehicle Industry
March 21 by Automotive IQRead this exclusive interview with Praful Bari, Head of Application Engineering at ZF Group.
2025 State of Automotive Software Development Report
March 12 by Jill BrittonPerforce’s annual State of Automotive Software Development Report presents key findings about current trends and rising concerns in the automotive industry.
Navigating the Data Act: Key Requirements and Implications for OEMS
February 10 by Cristina CojocaruAutomotive IQ interviewed Cristina Cojocaru, Head of Data Privacy at ZEEKR Europe, to discuss the key requirements and challenges that come with the Data Act.
Survey: 2025 State of Automotive Software Development
October 07 by Automotive IQThe 2025 State of Automotive Software Development Survey aims to discover current trends, practices, concerns, and more from auto development professionals.
Software-Defined Vehicle Architecture: How Connected Vehicle Technology Will Fit Into SDVs
August 14 by Automotive IQIn this interview with Ahsan Qamar & Rajesh Vijayan Balaji at Ford MC, the pair delve into the transformative era of SDVs and connected vehicle technology.
Powering up Automotive Simulation: Why Migrating to the Cloud is a Game Changer
June 07 by Automotive IQThe 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...
The Future of Software Defined Vehicles | Podcast
May 24 by Florian RohdeFlorian Rohde, formerly of Tesla, discussed the challenges and opportunities in the development and implementation of Software Defined Vehicles.
Middleware Diagnostics in Automotive Vehicles for Different Architectures
April 30 by Sneha ShetiyaThis 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.
How to Simulate Perception Systems to Reduce Physical Testing Effort
April 19 by Ahmed YousifAhmed 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...
The Impact of Software-Defined Vehicles on the Automotive Industry
April 18 by Frank GhenassiaAutomotive IQ interviewed Frank Ghenassia, Executive Chief Architect at General Motors to understand the impact of SDVs on the Automotive industry.
Autonomous Vehicles: How to Ensure Software Safety Compliance
April 15 by Divya GarikapatiFrom Traditional Coding to the Use of Artificial Intelligence in Autonomous Vehicles
Addressing the Challenges of Autonomous Vehicle Product Development
April 15 by Daniel LangkildeFor 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.