The transition to Software-Defined Vehicles (SDVs) mirrors many principles found in the Internet of Things (IoT), particularly in how both domains shift from dedicated hardware to flexible, software-driven architectures. A key parallel lies in the use of generic CPUs for processing, where software transforms raw inputs into intelligent sensor-like functionality. This approach decouples physical hardware from specific behaviors, enabling greater adaptability and scalability. In SDVs, this convergence allows centralized compute platforms to handle sensor data through software algorithms, much like IoT edge devices turn basic sensors into programmable, context-aware components.