Diego Sánchez is a professional with over a decade of experience in the automotive industry. As an HIL tester for autonomous driving, he conducted manual and automated system tests, validated software on test benches, and collaborated with both customers and development teams.
Prior to this, Diego worked as a project engineer specialising in data management, where he implemented software and hardware changes in E/E control units, managed releases, controlled suppliers and ensured coordination of the software delivery process.
He also worked as a problem manager, overseeing product development and ensuring adherence to quality requirements.
Presentation
Standardization – the Basis for Certification
ASAM is an association of industry professionals that has operated for more than 25 years. It currently has 40 standards in its portfolio and more than 400 members. Its vision is to accelerate engineering for mobility by creating standards.
This presentation introduces the most relevant standards in the simulation domain, focusing on the ongoing ASAM Quantifying Simulation Quality (ASAM QSQ) project.
Simulation is now a key part of the development and validation of advanced driver assistance and automated driving systems. As virtual methods move closer to engineering decisions and future regulatory acceptance, the quality of simulation frameworks and models must be described transparently and reproducibly. This remains difficult because metrics, assumptions and reporting styles differ across domains and organisations.
ASAM QSQ addresses the lack of a structured, comparable and exchangeable description of simulation quality. The concept aims to structure how simulation quality is described, documented and exchanged. It links test objectives, validation methods and metrics, and aims to represent this information in a machine-readable form that supports automation and traceability.
Initial results across sensor simulation, vehicle dynamics and system-level use cases show that existing validation practices can be organised into a coherent framework. The target is a standard that enables consistent, comparable and reusable quality descriptions across virtual validation workflows. The central message is simple: simulation quality is not a single number; it is a structured description of evidence and fitness for purpose.
