ADAS must be tested thoroughly before they can be deployed for series production.
Comparing with road and field test, bench test has been widely used owing to its …

Safety performance evaluation is critical for developing and deploying connected and
automated vehicles (CAVs). One prevailing way is to design testing scenarios using prior …

To meet the requirements of scenario-based testing for Autonomous Vehicles (AVs), driving
scenario characterization has become a critical issue. Existing studies have concluded that …

The testing of autonomous vehicle (AV) safety is receiving a lot of attention due to several
high-profile crashes caused by AVs. Popular AV testing techniques include test matrix and …

This paper focuses on systematical evaluation of Advanced Driver Assistance Systems and
Automated Driving Functions. To overcome the curse of dimensionality we propose to use a …

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 …

Testing black-box perceptual-control systems in simulation faces two difficulties. Firstly,
perceptual inputs in simulation lack the fidelity of real-world sensor inputs. Secondly, for a …

This paper describes a lane-changing motion planning model for intelligent vehicles under
constraints of collision avoidance in dynamical driving environments. The key innovation is …

We study rare-event simulation for a class of problems where the target hitting sets of
interest are defined via modern machine learning tools such as neural networks and random …

To validate whether Highly Automated Vehicles (HAVs) can live up to human expectations, it
is essential to estimate their risk rate within the context of the naturalistic driving …