Abstract
The safety of autonomously acting systems depends on a reliable assessment of the systems’ context. We propose a framework to formalise and analyse both qualitative and quantitative measures of the context quality in terms of safety and precision. The measures are based on order-theoretic arguments by relating the ground truth (as given by the real environment) with the context information (as inferred by the sensors). We derive a hierarchy of qualitative notions that can serve as a high-level requirement description for the sensor and controller implementation of the system. The quantitative part of the framework then allows for an evaluation of a probabilistic variant of the sensor regarding its safety and precision. We in particular treat the analysis of sensor fusion based on evidence theory.
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Toben, T. (2010). A Formal Model of Reliable Sensor Perception. In: Lukowicz, P., Kunze, K., Kortuem, G. (eds) Smart Sensing and Context. EuroSSC 2010. Lecture Notes in Computer Science, vol 6446. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16982-3_8
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DOI: https://doi.org/10.1007/978-3-642-16982-3_8
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