From Research to Practice: An Interactive Rapid Review of Autonomous Driving System Testing in Industry

The paper titled 'From Research to Practice: An Interactive Rapid Review of Autonomous Driving System Testing in Industry' by Qunying Song and co-authors tackles the significant challenges faced in testing autonomous driving systems (ADS). Despite the rapid deployment of ADS in real-world environments, testing remains complex due to unpredictable scenarios and the absence of standardized metrics. Collaborating with 21 industry practitioners, the authors have identified 12 key challenges, with the most critical being the approaches to testing and ensuring completeness for End-to-End (E2E) systems.

The authors analyzed 17 research studies focused on generating critical testing scenarios relevant to these challenges. Their findings highlight a pressing need for context-aware, industry-relevant solutions that can effectively bridge the gap between academic research and practical application. This practitioner-driven review not only reveals the real-world challenges in ADS testing but also offers rapid insights that can guide industry stakeholders in developing more effective testing methodologies. By addressing these challenges, the study aims to enhance the reliability and safety of autonomous vehicles on the road.