Research on multi-source data fusion for aviation support system

Zhaoting Yuan; Chuanlin Yu; Hongwei Guo; Haidan Zhao; Chengyu Li; Yihui Gong

doi:10.1117/12.2683419

26 June 2023 Research on multi-source data fusion for aviation support system

Zhaoting Yuan, Chuanlin Yu, Hongwei Guo, Haidan Zhao, Chengyu Li, Yihui Gong

Proceedings Volume 12721, Second International Symposium on Computer Applications and Information Systems (ISCAIS 2023); 127210S (2023) https://doi.org/10.1117/12.2683419
Event: 2023 2nd International Symposium on Computer Applications and Information Systems (ISCAIS 2023), 2023, Chengdu, China

Abstract

Aviation Support System (ASS) is a typical kind of complex system for supporting aircraft take-off and landing. The operation of ASS involves with man-machine-resource-environment system. The sensing data from ASS shows the multi-source characteristics. It is difficult to characterize the ASS status accurately and efficiently using such data source. Aiming at building intelligent ASS to improve efficiency and safety in complex environment, a multi-source data fusion method for ASS is proposed. According to the functional requirements in real-time perception, a unified architecture of multi-source data fusion for ASS is designed. The data fusion architecture is integrated with data preprocessing, association and aggregation. Finally a case study is proposed to verify the data fusion method for ASS.

Citation Download Citation

Zhaoting Yuan, Chuanlin Yu, Hongwei Guo, Haidan Zhao, Chengyu Li, and Yihui Gong "Research on multi-source data fusion for aviation support system", Proc. SPIE 12721, Second International Symposium on Computer Applications and Information Systems (ISCAIS 2023), 127210S (26 June 2023); https://doi.org/10.1117/12.2683419

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