In the rapidly evolving landscape of automotive technology, the shift towards Software-Defined Vehicles (SDVs) presents both challenges and opportunities. Iveco Group has been at the forefront of this transformation, leveraging innovative strategies and cutting-edge technologies to adapt its development processes and methodologies.

In this case study, Demetrio Cortese, Embedded Software Development Manager of Iveco Group explores how the organization is aligning with the SDV paradigm, emphasizing the critical role of simulation technologies, the balance between proprietary and open-source solutions, and the company’s overarching strategy to drive innovation and meet customer expectations.

• Simulation Technologies to Accelerate SDV Development
• Proprietary Solutions vs Open-Source Projects
• Revenue Generation, Cutting Costs, and Meeting Customer Expectations
• Standing Out in the Market
• Electronic Control Units (ECUs)
• Iveco Group’s Strategy to Align with SDVs
  

Vehicles, as we know them are changing and getting completely overhauled. OEMs are facing a completely new paradigm where they are not only transforming a 100-year-old industry, but also trying to sell a new product which involves maintaining and updating it throughout its lifecycle. Companies are working hard but in a continuously evolving market, automotive companies are on a steep learning curve to deliver early versions of Software-Defined Vehicles (SDVs).

As the automotive industry continues to step toward a future defined by SDVs, Automotive IQ spoke with Partha Goswami, the Former Professional Fellow of Technology & Trends at General Motors. In this interview, Partha shares invaluable insights gleaned from his extensive experience in the automotive sector, offering a comprehensive overview of the challenges, successes, and future trajectory of SDV development.

Discussion highlights:

• General Motors’ SDV Journey
• Establishing and Overcoming the Challenges
• Generating Revenue from SDVs and Alternative Revenue Models
• Long-Term Viability of Fully Electric EVs and its Impact on SDV Adoption
• Staying Ahead in the Market Amidst Tesla’s Influence
  

Javier Garcia – Gallardo Mosquera,  Head of ZEEKR Design Shanghai, speaks with Automotive IQ and sheds light on the pivotal roles of generative AI in optimizing automotive design and technology. Learn from Javier who discusses: 

• Modernizing the vehicle design process
• Optimizing the design process: Faster, more efficient, and innovative designs
• Technical challenges
• Integration challenges from a processes and policies perspective and the solutions

Javier will be sharing use-case examples of how ZEEKR has used generative design tools to optimize the design and development process at Generative AI for Automotive USA 2024!

Generative AI (GenAI) technology is disrupting the way vehicles are designed, manufactured, and experienced. There are ongoing talks and initiatives to break into and develop GenAI, a lot of bottom-up innovation taking place, and investment in the space is rising as new projects kick off. In this interview between Automotive IQ and Jörg Reichardt, Senior ML Expert at Continental, the topic of how technology is empowering automotive companies to optimise product, process and people efficiencies with generative AI is explored.

Interview highlights:

• The differences between GenAI vs. what was previously possible with machine learning, and why is it more powerful than before.
• How GenAI can improve results, performance, and impact of product development.
• Which automotive applications and business areas are most likely to benefit from GenAI.
• What type of training will be required to empower teams to use LLMs and GenAI models.

As artificial intelligence continues to soar, opportunities for the automotive industry to optimise vehicle design with this technology have arisen. The application of Generative AI (GenAI) can be used to improve product design to include features that were previously not reachable. Sebastian Wienhold, AI Ambassador for Division R - Passive Safety Systems at ZF Group speaks with Automotive IQ to explain how this can be achieved.

Sebastian shares his expertise and perspectives on the implementation of generative AI techniques in both software and hardware design processes, as well as discussing optimising output, applying image generation models to vehicle design, unlocking new features, and navigating the intricate balance between design and engineering considerations.

Ahead of the Generative AI for Automotive 2024 conference, Automotive IQ interviewed Marcel De Sutter, Data Scientist- Data & AI Lab, at a leading OEM, who gives a detailed insight into the transformative role of using Generative AI for the advancement of autonomous vehicles (AVs).

Marcel discusses how cutting-edge techniques, including Generative Adversarial Networks (GANs) and large language models, have optimised the development landscape. Exploring diverse applications across the spectrum of AV research and development, Marcel expands upon the instrumental contributions of generative models including data augmentation, perception enhancement, and mixed reality integration.

The interview discussions continue with the challenges and strategic considerations in deploying generative AI, shedding light on its pivotal role within the broader automotive industry. Marcel foresees a landscape where generative AI not only amplifies AV testing capabilities but also fortifies ethical and adaptive capacities in dynamic real-world conditions.