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.
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.
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.
Autonomous Vehicles: How to Ensure Software Safety Compliance
April 15 by Divya GarikapatiFrom Traditional Coding to the Use of Artificial Intelligence in Autonomous Vehicles
Powering Up Automotive Simulation
April 12 by John BakerThe 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 State of the Software-Defined Vehicle Market
April 05 by Steven WicksArnav 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...
2024 State of Automotive Software Development Report
March 13 by Jill BrittonLearn how leading automotive software professionals keep pace with emerging trends in our 2024 State of Automotive Software Development Report.
Best Practices for AI/ML Model Testing
March 01 by Mohamed ElgendyExplore AI/ML model development and the critical need for systematic testing practices in this detailed whitepaper.
Webinar Series: Autonomous Vehicles 2024
February 27 by Automotive IQJoin us for our latest webinar series: Autonomous Vehicles 2024
Automotive Ethernet: Enabling the Future of Autonomous Driving
February 26 by Automotive IQLearn how high-bandwidth and low-latency automotive Ethernet is enabling ADAS and autonomous vehicle applications.
Making Connected Car Data Matter
February 15 by Muthukumaran MahalingamMaking Connected Car Data Matter means a commitment to create technology that has a meaningful impact on people, businesses, and society. It emphasises the company's focus on delivering not just techn...
Conference: Generative AI for Automotive
January 12 by Automotive IQJoin us for the first ever Generative AI for Automotive conference.