Systematic Testing for Autonomous Driving

摘要

Trust in autonomous systems depends on their validation. AV validation must be efficient, transparent and reliable. Public trust in AV systems depends heavily on algorithmic transparency and continuous validation. Only reliable automated systems are accepted. With Robo-Test, the University of Stuttgart has created a pilot environment that uses AI-based clustering to automaticallyderive test scenarios and thus validate automated driving systems efficiently and effectively.