Safety assurance of automated driving systems must consider uncertain environment
perception. This paper reviews literature addressing how perception testing is realized as …

The homologation of automated vehicles, being safety-critical complex systems, requires
sound evidence for their safe operability. Traditionally, verification and validation activities …

How to drive safely in complex real-world traffic settings has long been a question and
challenge for autonomous vehicles (AVs). Decision-making systems (DecSs) are the core of …

由于性能局限, 规范不足或可合理预见误用导致的预期功能安全问题层出不穷,
严重阻碍了智能汽车的快速发展. 本综述聚焦智能汽车预期功能安全保障关键技术 …

As the complexity of autonomous vehicles (AVs) continues to increase and artificial
intelligence algorithms are becoming increasingly ubiquitous, a novel safety concern known …

Novel methods for safety validation of autonomous vehicles are needed in order to enable a
successful release of self-driving cars to the public. Decomposition of safety validation is one …

Autonomous Driving Systems (ADSs) are complex systems that must satisfy multiple safety
requirements. In particular cases, all the requirements cannot be satisfied at the same time …

As Autonomous Vehicle (AV) development has progressed, concerns regarding the safety of
passengers and agents in their environment have risen. Each real world traffic collision …

Automated vehicles are a great promise for the future of transportation systems. However,
safety assurance is still a major roadblock for the mass deployment of such vehicles. This is …

The risk and hazard analysis of modern complex software-intensive systems is a challenge,
due to their dynamic behaviour involving several interacting components. This paper …