STARS: A Tool for Measuring Scenario Coverage When Testing Autonomous Robotic Systems

STARS: A Tool for Measuring Scenario Coverage When Testing Autonomous Robotic Systems

연구 분야: Artificial Intelligence

학회: European Dependable Computing Conference

Extensive testing and simulation in different environments has been suggested as one piece of evidence for the safety of autonomous systems, e.g., in the automotive domain. To enable statements on the absolute number or fractions of tested scenarios, methods and tools for computing their coverage are needed. In this paper, we present STARS, a tool for specifying semantic environment features and measuring scenario coverage when testing autonomous systems.