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所属单位：计算机科学与技术学院/人工智能学院/软件学院

发表刊物：Advances in Computer Science and Ubiquitous Computing

关键字：Data fusion Ontology Sensor data fusion

摘要：The paper proposes an ontology-based multi-sensor data fusion model framework for the wide application of multi-sensor data fusion, which uses ontology as the semantics model of data in the feature level data fusion to solve the heterogeneous problem of multi-source data. In the framework, an effective data processing algorithm is presented to preserve a reliable confidence level for data in a dynamic environment based on the requirements of data timeliness in real-time data fusion systems. Considering the uncertainty of fuzzy information, Transferable Belief Model (TBM) is used in the decision level of data fusion to achieve multi-source heterogeneous distributed data fusion. Finally, the effectiveness of the fusion framework and algorithm is verified via an example instance of onboard sensors data fusion.

ISSN号：1876-1100

是否译文：否

发表时间：2017-12-01

合写作者：Wang, Shun,Li, Yan-hui,Zhang, Zhe,Wei, Zheng-xian

通讯作者：康达周