Research
Quantitative safety analysis for autonomous vehicles
Whether autonomous vehicles in intralogistics or machine tools in industrial production: Faults and failures of individual devices and components cannot always be avoided. It is therefore all the more important to assess their probability and optimize the design of technical systems with regard to their operational and process reliability.
With proSVIFT, researchers at the Fraunhofer Institute for Computer Graphics Research (IGD) have developed a new analysis tool that is based on a probabilistic failure mode and effects analysis (FMEA) and can be controlled intuitively. This enables users to reduce production downtimes, critical effects and follow-up costs. In a joint project with the Fraunhofer Institute for Structural Durability and System Reliability LBF, IGD researchers have created a technology that further develops the previous form of probabilistic, i.e. probability-based, FMEA on the basis of Bayesian networks.
By means of application-oriented visualization, the researchers increase user-friendliness and transfer the methodological concept of pro-babilistic FMEA into practical application. In addition to its original field of application in intralogistics, the software can also be used in all other areas of product development in which reliability and safety assessment in technical systems is relevant - for example in the automotive industry.
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