Problem
Research questions and friction points this paper is trying to address.
Autonomous Driving System
Testing
End-to-End
Industry Practice
Research-Practice Gap
From Research to Practice: An Interactive Rapid Review of Autonomous Driving System Testing in Industry
career value
233K/year
🤖 AI Summary
This study addresses the challenges of deploying autonomous driving system testing in industrial settings, where open-world environments, complex scenarios, and the absence of standardized methodologies hinder the practical application of academic research. To bridge this gap, the work introduces a practitioner-driven interactive rapid review approach, engaging 21 automotive industry experts to systematically evaluate the applicability of 17 academic studies in real-world contexts, with a focus on end-to-end testing methods and test completeness. The analysis identifies 12 key challenges, providing in-depth examination of the two most representative issues. By offering empirical evidence and actionable insights, this research lays a foundation for developing testing frameworks that better align with industrial needs and accelerates the translation of academic advances into practice.
📝 Abstract
Autonomous driving systems (ADS) are increasingly deployed in real traffic, yet testing remains fundamentally challenging due to open environments, complex scenarios, and the lack of established processes and metrics. Despite extensive research, a gap persists between academic advances and their applicability in industrial practice. To address this, we conduct an interactive rapid review in collaboration with 21 practitioners from a leading automotive company. Practitioners identified 12 key challenges in ADS testing, and prioritised two as the most critical issues, namely approaches to and completeness of testing for End-to-End (E2E) ADS. We analyzed 17 research studies relevant to these two challenges, most of which focus on generating critical testing scenarios, and subsequently assessed their relevance and applicability in practice. Our study provides the first practitioner-driven review and evaluation of current ADS testing research, reveals practical challenges in ADS testing, offers rapid insights for practitioners, and highlights the need for more context-aware, industry-relevant solutions to bridge the gap between research and practice.
Innovation
Methods, ideas, or system contributions that make the work stand out.
interactive rapid review
autonomous driving system testing
end-to-end ADS
industry-academia gap
scenario generation
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