The shift toward SDVs promises unprecedented flexibility, scalability, and continuous feature evolution across the automotive lifecycle. However, for ADAS, this transition exposes a unique set of technical and safety challenges. While SDV architectures aim to abstract hardware through centralized compute, virtualization, and middleware, ADAS perception pipelines remain tightly coupled to sensor physics, accelerator‑specific optimizations, and deterministic real‑time constraints. This presentation highlights the key challenges in deploying portable, updatable ADAS across heterogeneous hardware. It reviews the practical limitations OEMs and suppliers face, examines the safety implications under evolving regulations, and outlines the technical advances needed to enable safe and scalable ADAS.

• Why true hardware‑agnostic ADAS is difficult despite SDV architectures aiming to decouple hardware and software.
• Practical challenges OEMs and Tier‑1 suppliers face when deploying portable, updatable ADAS stacks across heterogeneous hardware platforms.
• Safety and regulatory implications under evolving frameworks, along with the associated challenges of delivering compliant OTA updates.
• What technical advances are still needed to enable scalable, safe ADAS in the SDV era.