The testing of the intelligent driving systems is faced with the challenges of efficiency
because real traffic scenarios are infinite, uncontrollable and difficult to be precisely defined …

Intelligent vehicle greatly benefits traffic safety, efficiency and driving comfortable. With the
development of intelligent driving technology and its application, it is becoming increasingly …

In this paper, we propose a new scenario generation algorithm called Combinatorial Testing
Based on Complexity (CTBC) based on both combinatorial testing (CT) method and Test …

In this paper, a methodology of automatic generation of test scenarios for intelligent driving
systems is proposed, which is based on the combination of the test matrix (TM) and …

Modern vehicle is equipped with autonomous features, such as precollision system or
adaptive cruise control to help people perform driving in a safer and more convenient way …

The advancement of autonomous driving technology has had a significant impact on both
transportation networks and people's lives. Connected and automated vehicles as well as …

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 …

To successfully launch automated vehicles into the consumer market, there must be credible
proof that the vehicles will operate safely. However, finding a method to validate the …

In our days, vehicle automation is in a continuous evolutionary phase consisting of
experiments, testing and validation. Accelerating the development and deployment of …

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 …