Subjective logic reasoning: an urn model intuition and application to connected automated driving
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Abstract Subjective Logic (SL) is a powerful extend of classical probability theory that can handle small sample sizes and, with that, the resulting statistical uncertainty. However, SL is a quite abstract theory and has found limited attention in the field of automation so far. In this work, we present a new urn model intuition to SL that connects SL with the Pólya urn scheme. The application of SL-based reliability estimation in automation is demonstrated on two examples from the domain of connected automated driving: first to assess external information for motion planning on-board the vehicle and second to rate connected vehicles as agents within a large-scale multi-agent system.
2021 ◽
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2017 ◽
Vol 35
(15_suppl)
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pp. 7554-7554
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2015 ◽
Vol 370
(1664)
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pp. 20140092
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2006 ◽
Vol 50
(8)
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pp. 2640-2649
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Keyword(s):
2021 ◽
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