@inproceedings{bcd3ef0591db45b18d175ef8ae2427b1,
title = "Research on Multi-source Data Fusion for Aviation Support System",
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 multisource 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 multisource 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.",
keywords = "Aggregation model, Association model, Aviation Support System, Data architecture, Data fusion",
author = "Zhaoting Yuan and Chuanlin Yu and Hongwei Guo and Haidan Zhao and Chengyu Li and Yihui Gong",
note = "Publisher Copyright: {\textcopyright} 2023 SPIE.; 2nd International Symposium on Computer Applications and Information Systems, ISCAIS 2023 ; Conference date: 24-03-2023 Through 26-03-2023",
year = "2023",
doi = "10.1117/12.2683419",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Freris, \{Nikolaos M.\} and Lei Chen",
booktitle = "Second International Symposium on Computer Applications and Information Systems, ISCAIS 2023",
address = "United States",
}