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Modern software-defined vehicles combine traditional microcontroller-based ECUs with high-performance microprocessor-based vehicle computers, creating increasingly distributed and complex E/E architectures. While this evolution enables more advanced vehicle functionality, it also introduces significant challenges for engineering teams tasked with validating and optimizing functions across diverse hardware and software environments.

In this webinar, ETAS experts share practical strategies for unifying ECU access across mixed µC and µP architectures, addressing the toolchain gaps, data integrity risks, and workflow fragmentation that emerge when validation spans fundamentally different hardware and software environments.

The session covers high-bandwidth data acquisition, real-time calibration, and dataset management for both µC and POSIX-based µP systems, including AUTOSAR Adaptive environments, and shows how consistent toolchains can absorb growing system complexity without breaking existing development processes.

What you’ll learn:

• How unified ECU access reduces workflow fragmentation across µC and µP-based systems
• How to achieve high-throughput data acquisition for demanding validation and calibration scenarios
• How modular hardware and feature-based licensing enable flexible, cost-efficient project scaling
• How to apply established XCP-based measurement and calibration methods to POSIX and AUTOSAR Adaptive environments
• How consistent toolchains and dataset management improve engineering efficiency across modern E/E architectures