Model Based Safety Analysis of Automated Driving Systems project

互联和自动驾驶汽车将改变交通移动性的未来。然而，证明CAV技术是安全的仍然是引入它们的关键障碍。我们的研究重点是先进驾驶辅助系统(ADAS)和自动驾驶系统(ADSS)的安全和强大功能，然后才能实现商业应用。这类系统的复杂性要求开发创新的评价方法和开发动态测试方案。学生将参与为ADAS和ADS创建基于模型的安全分析。该学生将从事系统架构方面的工作。了解系统要求及其对系统芯片设计和组件(硬件和软件)的影响，以实现无缝集成流程。

Connected & Autonomous Vehicles will transform the future of transport mobility. However, proving that CAV technologies are safe remains a key barrier in their introduction. Our research focuses on the safe and robust functionality of Advanced Driving Assistance Systems (ADAS) and Automated Driving Systems (ADSs) before commercial application can be realised. The complex nature of such systems requires development of both innovative methods of evaluation and the development of dynamic test scenarios. The student will be involved in creating a model-based safety analysis for ADAS and ADS. The student would be working on a system architecture. Understanding the system requirements and its influence on system on chip design and components (HW and SW) to allow for a seamless integration process.