多公司研究揭示自动驾驶系统测试现状与挑战
原标题：In the Driver's Seat: A Multi-Company Study on the Reality of Autonomous Driving System Testing
AI 摘要
一项针对九家来自六个不同国家的公司的访谈研究，探讨了自动驾驶系统（ADS）测试的现状与挑战。研究发现当前实践主要依赖基于场景和X-in-the-loop测试方法，并面临场景真实性、覆盖度、仿真保真度和验收标准等挑战。研究提出了一个以证据为中心的闭环测试框架，并展望了未来测试将更加自动化、数据驱动和透明。
正文节选
In the Driver's Seat: A Multi-Company Study on the Reality of Autonomous Driving System Testing Abstract Autonomous driving systems (ADS) are rapidly advancing and increasingly deployed in real-world applications. This creates growing demands for effective testing to ensure system functionality and safety. However, ADS testing remains complex and lacks well-established standards for scenario selection, performance evaluation, and acceptance criteria. To better understand current ADS testing prac