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.
SDV & AI in Automotive USA 2025 - Perspective and Takeaways by Partha Goswami
October 15 by Partha Goswami
Partha Goswami, Principal at PG Mobility Analysis LLC, unpacks takeaways from SDV & AI in Automotive USA 2026, sharing fresh insights & industry perspectives.
DDS: The Data Backbone of SDV Interoperability
October 07 by Automotive IQ
Learn how the DDS data-centric communication framework and a common data model deliver a scalable, flexible, and real-time data backbone.
Cybersecurity Challenges in the Era of SDVs
September 24 by Suresh Sureddi
Insights from industry frameworks, real-world breaches, and emerging solutions to propose a comprehensive defense strategy.
2026 State of Automotive Software Development Survey
September 18 by Automotive IQ
The 2026 State of Automotive Software Development Survey aims to uncover current trends, practices, concerns, and more from automotive software professionals.
The Evolution of SDV Architectures - Innovations, Challenges and Opportunities
September 15 by Johannes Krieg
Johannes Krieg, Manager Software-Defined Car at Mercedes-Benz Tech Innovation, shares insights into the company’s transition to SDVs.
The Why, What & How of Software-Defined Vehicles
August 26 by Sagar Mahajan
Sagar Mahajan, an SDV enthusiast, explores the rise of Software-Defined Vehicles, highlighting global efforts & collaborative initiatives.
European Regulations in Automotive - Product Liability Act and Data Act
August 20 by Automotive IQ
This provides insight into key provisions, limitations, implications, and strategies for effective management and compliance.
Success and Lessons Learned from SDVs
August 19 by Automotive IQ
This interview offers a comprehensive overview of the challenges, successes, and future trajectory of SDV development.
Report: AI in SDVs - Everything You Need To Know
August 19 by Automotive IQ
Automotive IQ compiled a market report offering a detailed overview of how AI is transforming SDVs throughout their entire lifecycle.
The Use of AI to Speed Up Software Development and Testing Processes and Decrease Costs
August 11 by Automotive IQ
Key Use Cases of AI in Software Development Including Requirement Analysis, Design and Development, and Validation
Cost Reduction Strategies and Emerging Technologies in Automotive Manufacturing
August 06 by Maximillian Fischer
Automotive Manufacturing: Cost reduction strategies, modifying legacy platforms and automation technologies for operational costs and labour
No AI, No Future: How the Automotive Industry Must Evolve - Now
July 17 by Automotive IQ
In this forward-looking interview, Augustin Friedel and Prasanth Gowravajhala share insights as they navigate the complex transition to SDVs.
