Challenges of Virtual Validation and Verification for Automotive Functions

TL;DR

This paper explores the key challenges in virtual validation and verification of automotive functions through expert workshops and surveys, highlighting unresolved issues and potential research directions for safer vehicle simulations.

Contribution

It identifies 17 major challenges in automotive virtual validation, assesses existing solutions, and emphasizes the need for further research and resource allocation.

Findings

17 key challenges identified in virtual validation

Many challenges already have known solutions

Resource allocation is critical for addressing challenges

Abstract

Verification and validation of vehicles is a complex yet critical process, particularly for ensuring safety and coverage through simulations. However, achieving realistic and useful simulations comes with significant challenges. To explore these challenges, we conducted a workshop with experts in the field, allowing them to brainstorm key obstacles. Following this, we distributed a survey to consolidate findings and gain further insights into potential solutions. The experts identified 17 key challenges, along with proposed solutions, an assessment of whether they represent next steps for research, and the roadblocks to their implementation. While a lack of resources was not initially highlighted as a major challenge, utilizing more resources emerged as a critical necessity when experts discussed solutions. Interestingly, we expected some of these challenges to have already been addressed or to have systematic solutions readily available, given the collective expertise in the field. Many of the identified problems already have known solutions, allowing us to shift focus towards unresolved challenges and share the next steps with the broader community.