Testing and evaluation is a crucial step in the development and deployment of connected
and automated vehicles (CAVs). To comprehensively evaluate the performance of CAVs, it …

Autonomous driving systems have witnessed significant development during the past years
thanks to the advance in machine learning-enabled sensing and decision-making …

Autonomous vehicles must be comprehensively evaluated before deployed in cities and
highways. However, most existing evaluation approaches for autonomous vehicles are static …

Autonomous vehicles must be comprehensively evaluated before deployed in cities and
highways. However, most existing evaluation approaches for autonomous vehicles are static …

As shown by recent studies, machine intelligence-enabled systems are vulnerable to test
cases resulting from either adversarial manipulation or natural distribution shifts. This has …

Evaluating the decision-making system is indispensable in developing autonomous
vehicles, while realistic and challenging safety-critical test scenarios play a crucial role …

The field of Autonomous Driving (AD) has witnessed significant progress in recent years.
Among the various challenges faced, the safety evaluation of autonomous vehicles (AVs) …

Extracting interesting scenarios from real-world data as well as generating failure cases is
important for the development and testing of autonomous systems. We propose efficient …

Driving intelligence tests are critical to the development and deployment of autonomous
vehicles. The prevailing approach tests autonomous vehicles in life-like simulations of the …

Abstract We present ChatScene a Large Language Model (LLM)-based agent that
leverages the capabilities of LLMs to generate safety-critical scenarios for autonomous …