Survey on Simulation Testing of Autonomous Driving System

With the rapid development of autonomous driving technology, autonomous vehicles have emerged as a prominent application of artificial intelligence. They play a vital role in addressing critical issues such as environmental pollution, energy consumption, traffic congestion, and traffic accidents, gradually progressing toward practical implementation. However, given that autonomous driving systems are complex software operating under uncertain conditions, they can be prone to making erroneous judgments in intricate external environments, which may lead to traffic accidents. Therefore, it is essential to conduct comprehensive testing of autonomous driving systems before deployment on public roads to ensure their safety and reliability. This paper discusses the key technologies involved in testing existing autonomous driving systems from two perspectives: simulation testing techniques and test case generation techniques.