Conference / 02/26/2019 - 02/28/2019
embedded world Conference 2019
Extreme miniaturization coupled with increasingly higher computer performance, efficient communication of networked, often also mobile systems – the developers of embedded systems have to meet enormous requirements. The reliability of electronic systems, distributed intelligence, the internet of things and solutions for future themes such as e-mobility and energy efficiency are the main topics right at the top of the agenda for the embedded sector and industry.
Each year the embedded world Exhibition&Conference in Nuremberg offers the embedded community the opportunity to obtain information about new products and innovations, enter into an exchange and to maintain and develop valuable contacts. Around 1.000 exhibitors are presenting state-of-the-art technology in all facets of embedded technologies, from construction elements, modules and complete systems through to operating systems and software, hard and software tools right up to services covering all aspects of embedded systems.
Fraunhofer IESE will be present with the following presentation:
Safety in Cooperative Automated Systems
Wednesday 27.02.2019, Session 8.4, 5:00 PM, Conference Counter NCC Ost, Dr. Daniel Schneider
There is an overarching trend in the application domains of embedded systems towards ever higher levels of automation and interconnection. Such systems harbor enormous potential regarding new types of services and applications. However, before compelling visions and ideas can be turned into actual economic and societal success, we need to tackle a series of important engineering challenges. One key challenge is the assurance of safety, because established methods and standards operate on the base assumption that systems and contexts are known completely – which can no longer be assumed. This talk presents correlated solution ideas and concepts to enable safety assurance of open/cooperative and highly automated systems. First, the applicability of current standards as well as open gaps are discussed. In particular, it is shown that merely considering functional safety is not sufficient. As additional dimensions, safety of the intended functionality as well as the engineering of a safe normal function must be considered. Moreover, complex behaviors and the utilization of machine learning technology pose the need for novel safety measures. Thus, an overview is given regarding different ML approaches and correlated means for assurances. Finally, based on these building blocks, a “dynamic risk management” concept is presented as a means to make cooperative systems resilient, i.e. to ensure safety on a system of systems level despite continuous dynamic changes.
More information about the conference can be found here.