Agenda

Panel:

• Suman Sehra, Global Vice President of Automotive Product & Platform Portfolio Management, HARMAN

Modern consumers have incredibly high expectations when it comes to vehicle connectivity. To capture value in this burgeoning market, mobility stakeholders must create a comprehensive connectivity offering that meets and even surpasses consumer requirements in multiple categories, including safety and security, comfort, infotainment, and personal assistance.

• What connectivity features do consumers want in the software-defined vehicle?
• How do connectivity requirements vary by powertrain type, region, and consumer demographics?
• What challenges do automakers face when developing a winning connectivity offering?
• How can automakers overcome these challenges to meet consumer requirements and maximize revenue?

Prashant Gulati, CEO, SDVerse

As vehicles increasingly rely on software for critical vehicle functions such as engine control and collision avoidance, ensuring their safe operation is essential amidst potential faults or errors. As a result, functional safety is playing a central role in the shift to software-defined vehicles (SDVs).

• What are the biggest challenges in implementing functional safety for complex software systems in SDVs?
• What tools, methodologies, and standards can engineers use to overcome these challenges?
• How can engineers balance the need for innovation and rapid development with the rigorous requirements of functional safety?
• How will the role of functional safety evolve as we move towards Level 5 autonomous driving?

Shaun Kalinowski, Automotive Application Engineering Manager, MathWorks
Wensi Jin, Automotive Industry Marketing Manager, MathWorks

Automotive E/E architectures have evolved from early generations based on decentralized models and single ECUs to today’s zonal architectures, which are revolutionizing how a vehicle’s systems are designed, integrated, and managed.

• How do zonal architectures impact the design, development, and functionality of SDVs?
• What are the main challenges to integrating zonal architectures into SDVs, and how can they be overcome?
• What are the potential cost and efficiency implications associated with developing and maintaining zonal architectures?
• How will zonal architectures evolve over the next decade and beyond?

Over the past few years, stakeholders across the mobility ecosystem have pushed back their ambitious timelines for Level 5 autonomous vehicle (AV) development and deployment. While some companies, such as Elon Musk’s Tesla, still believe a breakthrough is just around the corner, most now accept that mass deployment is more than a decade away.

• What is the likely adoption timeline for all levels of autonomous driving (L1-L5)?
• What are the main technological challenges to achieving Level 5, and what is the industry doing to overcome them?
• How must the regulatory landscape evolve to enable the widespread adoption of AVs?
• What are the potential regional differences in the adoption of AVs?

The mobility sector has, in recent years, achieved rapid development in advanced driver assistance systems (ADAS), resulting in much wider adoption. This trend is on track to continue, with the North American ADAS market expected to more than double to around US$23bn by the end of this decade as automakers strive to deliver enhanced driving safety, comfort, and efficiency to their customers.

• What is the long-term vision for the role of ADAS in shaping the future of mobility?
• Which technological innovations are most likely to influence the future of ADAS?
• What are the main obstacles companies face in developing secure, dependable, and scalable next-generation ADAS functionality?
• Will ADAS adoption eventually become widespread across all regions and vehicle segments, and if so, what is the timeframe?

Ralph Tritsch, Senior Manager, Eraneos

Sensor fusion techniques, which combine data from cameras, radars, Lidars, and ultrasonic sensors to help the vehicle perceive its surroundings and make decisions, will play a critical role in the evolution of autonomous vehicles. Our panel of experts discuss how they approach the complex task of achieving sensor fusion in the quest for Level 5 autonomous driving.

• What is sensor fusion, and what role does it play in enabling autonomous driving?
• What are the main challenges to achieving sensor fusion?, and how can they be overcome?
• How will sensor fusion evolve as we move towards Level 5 autonomous driving?
• How might sensor technology and artificial intelligence advancements impact the future of sensor fusion?