Multi-Sensor Fusion Technology Based on Aircraft: The Implementation of Aircraft State Monitoring

Multi-sensor fusion technology has become a core element in developing modern Multi-sensor fusion technology, which has become a crucial component in advancing the modern aviation industry. It combines data from multiple sources to enhance flight safety and awareness of the aircraft’s state. Aviation industry. It integrates multi-source data to improve flight safety and state awareness. This thesis describes the advances in the application of this technology to aircraft condition monitoring and provides insights into the key challenges encountered by multi-sensor fusion technology in existing aircraft. Such as the explosive growth of data scale and the credibility of sensor data, and prospectively discusses the future development direction of this technology, focusing on the potential application of artificial intelligence and big data technology in the field of multi-sensor fusion to provide theoretical support for the optimization of the aviation safety monitoring system.

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Publication Details

Journal
MATEC Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/matecconf/202541004010
Primary Topic
Target Tracking and Data Fusion in Sensor Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

Multi-Sensor Fusion Technology Based on Aircraft: The Implementation of Aircraft State Monitoring

Zhenpeng Bai, Z. Cedric Xia
MATEC Web of Conferences
Target Tracking and Data Fusion in Sensor Networks
article

Multi-Sensor Fusion Technology Based on Aircraft: The Implementation of Aircraft State Monitoring

Zhenpeng Bai, Z. Cedric Xia
article en

Abstract

Multi-sensor fusion technology has become a core element in developing modern Multi-sensor fusion technology, which has become a crucial component in advancing the modern aviation industry. It combines data from multiple sources to enhance flight safety and awareness of the aircraft’s state. Aviation industry. It integrates multi-source data to improve flight safety and state awareness. This thesis describes the advances in the application of this technology to aircraft condition monitoring and provides insights into the key challenges encountered by multi-sensor fusion technology in existing aircraft. Such as the explosive growth of data scale and the credibility of sensor data, and prospectively discusses the future development direction of this technology, focusing on the potential application of artificial intelligence and big data technology in the field of multi-sensor fusion to provide theoretical support for the optimization of the aviation safety monitoring system.

MATEC Web of ConferencesVol. 410
Xidian University (CN), ArtCenter College of Design (US), Interaction Design (United Kingdom) (GB)
Openalex Percentile: Top 91%
Target Tracking and Data Fusion in Sensor Networks
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