Open AccessResearch on Multi-sensor Data Fusion Technology
Author(s) -
Yuqing Tong,
Jiujun Bai,
Xuebo Chen
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1624/3/032046
Subject(s) - sensor fusion , information fusion , computer science , set (abstract data type) , scheme (mathematics) , fusion , information integration , data mining , feature (linguistics) , data integration , artificial intelligence , mathematics , mathematical analysis , linguistics , philosophy , programming language
Multi-source sensor information fusion mainly collects various types of information from multiple independent decentralized sensors. Due to the different types of information, specific combinations of time and events are required to make the collected information more advanced and useful information. From the level of fusion, it will be merged from the three levels of data set, feature level and decision-making level. For different practical problems, it is necessary to use a certain level of fusion or a certain two levels of fusion according to the situation, so as to obtain the most optimal integration scheme.