Test scenario generation for testing automated and autonomous driving systems requires
knowledge about the recurring traffic cases, known as scenario types. The most common …

A common approach in testing automated and autonomous driving systems (ADS) consists
in running the ADS in a simulator where driving and environmental conditions are specified …

How many scenarios are sufficient to validate the safe Operational Design Domain (ODD) of
an Automated Driving System (ADS) equipped vehicle? Is a more significant number of …

This article studies the class of scenario-based safety testing algorithms in the black-box
safety testing configuration. For algorithms sharing the same state–action set coverage with …

This paper addresses the challenge of generating safetycritical scenarios with multiple
adversarial vehicles for testing autonomous vehicles. Such scenarios must be plausible and …

The dynamic response of the legged robot locomotion is non-Lipschitz and can be
stochastic due to environmental uncertainties. To test, validate, and characterize the safety …

A typical scenario-based evaluation framework seeks to characterize a black-box system's
safety performance (eg, failure rate) through repeatedly sampling initialization configurations …

Autonomous Driving Systems (ADS) are complex critical systems that need to be thoroughly
tested. Still, assessing the strength of tests for such systems is an open and complex …

This work proposes a new representation of pedestrian crossing scenarios and a hybrid
modeling approach, RePed, that facilitates transferring microscopic behavior models from …

Simulation-based testing is a popular approach for testing autonomous driving systems
(ADS), in which different types of scenario are designed to test the ADS under different …