Autonomous cyber-physical systems (CPS) can improve safety and efficiency for safety-
critical applications, but require rigorous testing before deployment. The complexity of these …

This paper presents a method for testing the decision making systems of autonomous
vehicles. Our approach involves perturbing stochastic elements in the vehicle's environment …

Testing and evaluation is a critical step in the development and deployment of connected
and automated vehicles (CAVs), and yet there is no systematic framework to generate …

Intelligent vehicle testing has been a hotspot in the field of intelligent vehicles. Due to the
multi-dimensional parameters and the continuity of testing scenarios, a complete test of all …

Automated Driving Systems (ADS) have made great achievements in recent years thanks to
the efforts from both academia and industry. A typical ADS is composed of multiple modules …

Autonomous decision making is a critical and difficult task for intelligent vehicles in dynamic
transportation environments. In this paper, a reinforcement learning approach with value …

The safety of automated vehicles (AVs) must be assured before their release and
deployment. The current approach to evaluation relies primarily on 1) testing AVs on public …

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 …

Highly Automated Vehicles (HAVs) must undergo strict safety testing before being released
to the public. Mileage-based on-road testing suffers from unaffordable time costs and high …

Autonomous vehicles are complex systems that are challenging to test and debug. A
requirements-driven approach to the development process can decrease the resources …