Research Progress on Autonomous Driving Simulation Test Scenario Generation Technology

Autonomous driving systems have emerged as a cutting-edge research domain at the intersection of the automotive industry and computer science. Ensuring the safety and reliability of autonomous driving systems necessitates comprehensive testing. Simulation testing, characterized by its low cost and high safety, plays a pivotal role in this context. The generation of simulation test scenarios is an indispensable component in the autonomous driving testing process. To date, numerous scholars have dedicated their efforts to the study of autonomous driving simulation testing, and there have been numerous reports on the advancements in this field. However, research progress reports specifically addressing the generation of simulation test scenarios for autonomous driving are scarce. Therefore, this paper commences with a comprehensive literature review on autonomous driving simulation test scenarios and provides an overview of the related background knowledge. Subsequently, it systematically categorizes and elaborates on the existing methods for generating simulation test scenarios by investigating dozens of relevant domestic and international literature, organized according to the modules of the autonomous driving system. Furthermore, the paper analyzes and summarizes the current mainstream simulation testing tools. Finally, the paper discusses the challenges and future prospects faced in the field of autonomous driving simulation testing. © 2025 Journal of Computer Engineering and Applications Beijing Co., Ltd.; Science Press. All rights reserved.