Possibilistic Causal Reasoning Approach to Functional Deficiency Diagnosis of Automated Driving System
2018 3rd International Conference on System Reliability and Safety (ICSRS)(2018)
摘要
Aiming at evaluating sufficiency of functional deficiency knowledge in automated driving system, this paper discusses a diagnosis problem during analysis of empirical database. A structured knowledge model is previously defined by a relation space between boundary (challenging operating conditions) and trigger-event (unwanted subsystem functionality). The proposed approach works on a set of observed trigger-events and performs a two-fold diagnosis task: (i) inference of boundary plausibility; (ii) classification of observation explainability. As illustrated, it could be a promising approach for large-scale case, which is being developed in our ongoing work.
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关键词
diagnosis,functional deficiency,automated driving,possibility theory,fuzzy set
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