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A motion certification concept to evaluate operational safety and optimizing operating parameters at runtime

: Müller, Sebastian; Liggesmeyer, Peter


Koornneef, Floor (Ed.):
Computer Safety, Reliability, and Security. SAFECOMP 2015 Workshops: ASSURE, DECSoS, ISSE, RESA4CI, and SASSUR. Proceedings : Delft, the Netherlands, September 22, 2015
Cham: Springer International Publishing, 2015 (Lecture Notes in Computer Science 9338)
ISBN: 978-3-319-24248-4 (Print)
ISBN: 978-3-319-24249-1 (Online)
International Conference on Computer Safety, Reliability, and Security (SAFECOMP) <34, 2015, Delft>
Dependable Cyber-Physical Systems and Systems-of-Systems Workshop (DECSoS) <2015, Delft>
Conference Paper
Fraunhofer IESE ()
condition monitoring; safety; modularity; complex adaptive systems; autonomous vehicle; conditional safty certificate; mobile robot

For technical systems, which perform highly automated or so-called autonomous actions, there exist a large demand to evaluate their operational safety in a uniform way at runtime based on the combination of environmental threats and the conditions of subordinated system modules. To guarantee a safe motion based on autonomous decisions we have introduced a universal and transparent certification process which not only takes functional aspects like environment detection and collision avoidance techniques into account but especially identifies the associated system condition itself as a key aspect for the determination of operational safety and for an automated optimization of operating parameters. Similar to a feedback loop possible constraints for environment perception of sensor components or the ability of actuator components to interact with their environment have to be taken into account to introduce a generalized safety evaluation for the entire system. Therefore, a model is derived to evaluate the operational safety for the autonomous driving robot RAVON from TU Kaiserslautern based on an integrated behavior-based control (IB2C).