IoT4CPS develops guidelines, methods and tools to enable safe and secure IoT-based applications for automated driving and for smart production. The project will address safety and security aspects in a holistic approach, both along the specific value chains and the product life cycles. To ensure the outreach of the project activities and results, the relevant stakeholders are involved throughout the project and results are disseminated to expert groups and standardization bodies. IoT4CPS supports digitalization along the entire product lifecycle, leading to a time-to-market acceleration for connected and autonomous vehicles. IoT4CPS provides innovative components, leading to efficiency increases for the deployment of autonomous driving functions and in smart production environments.
The research areas focus on conducting extensive Security & Verification Analysis, Safety and Security Design and Methods as well as IoT Life Cycle Management aspects in the target domains “Automotive” and “Industry 4.0” Smart Production. The project develops IoT domain specific platforms and a framework bridging the requirements for safety and security.
Figure 1: Research approach
Figure 2: Framework to bridge the requirements for safety and security
TTTech Auto AG contributes by developing technologies for a safety platform for autonomous driving with respect to enabling seamless integration of safe and secure IoT applications in the automotive domain. Starting at a resilient architectural level providing solutions and network implementation to be installed at vehicle level, the platform supports communication over deterministic Ethernet (TSN). The platform enables the multi CPU control unit with dedicated developments on real-time, time-triggered SW- and Middleware- level for future generation highly automated/autonomous driving capabilities. The platform offers common execution environment, APIs, standardized abstraction from underlying hardware and operating systems, and offers location transparency. Location transparency means that software components can be developed independently regardless of the hardware constraints and can be also moved from one CPU to another depending on, e.g., safety requirements or CPU utilization.
Concerning demonstration, TTTech Auto AG integrated their Platform into a mobile rover robot equipped with LIDAR Support for automatic obstacle detection/environmental awareness generation for autonomous operation.
Figure 3: Rover with TTTech platform (right) and Platform hardware (left)