  Unfortunately, many people die in car accidents. To reduce these accidents,
cars are equipped with driving safety systems. With autonomous vehicles, the
driver's behavior becomes irrelevant as the car drives autonomously. All
autonomous driving algorithms must undergo extensive testing and validation,
especially for safety-critical scenarios. Therefore, the detection of
safety-critical driving scenarios is essential for autonomous vehicles. This
publication describes safety indicator metrics based on time series covering
longitudinal driving data to detect safety-critical driving scenarios.
