Abstract
As a product of intelligent technology integration, intelligent autonomous system (IAS) is central to future development. In order to analyze and evaluate the IAS reliability, artificial intelligence (AI) algorithms and the associated IAS functional structures are studied to propose a reliability assessment scheme for the IAS in this paper. Considering the task requirements and environmental conditions, the IAS can be divided into layers, and the reliability metrics of AI algorithms and the system reliability covering software and hardware are evaluated for each layer, respectively. Then, the reliability metrics of the IAS are calculated by weighting and fusing the reliability of AI algorithms and the system reliability of each level. Moreover, based on multi-source data fusion and uncertainty quantification techniques, the assessment method of the IAS reliability is introduced to provide technical guarantees for its reliable operation. In short, by analyzing the internal and external factors affecting the IAS reliability, the reliability assessment scheme of the IAS is established based on the IAS reliability metrics and the IAS evaluation method, to promote the development of reliability technology.
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