With the aim of improving driver comfort and road safety, OEMs have been pushing the boundaries of Advanced Driver Assistance Systems (ADAS) from Level 2 to more advanced levels of driving automation. The development of a Level 2+ system presents challenges, particularly in handling complex real-world scenarios, defining system boundaries, and ensuring effective driver interaction. This presentation will address these challenges from a data-driven development perspective, including an overview of the data flow in the development lifecycle, the combination of various data sources, architectural adaptations, customer-centric approaches, and safety evidence for complying with the new Driver Control Assistance System (DCAS) regulations.

• Understanding the data-driven development approach for tackling the complexities of Level 2+ driving assistance systems.
• Importance of data flow through the development lifecycle and the integration of various data sources for efficient system design and performance.
• Insight into the role of architectural adaptation, customer-centric strategies, and safety regulations in advancing the driving automation industry.