Abstract
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 safetyevaluation 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).
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Müller, S., Liggesmeyer, P. (2015). A Motion Certification Concept to Evaluate Operational Safety and Optimizing Operating Parameters at Runtime. In: Koornneef, F., van Gulijk, C. (eds) Computer Safety, Reliability, and Security. SAFECOMP 2014. Lecture Notes in Computer Science(), vol 9338. Springer, Cham. https://doi.org/10.1007/978-3-319-24249-1_14
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DOI: https://doi.org/10.1007/978-3-319-24249-1_14
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