| Issue |
MATEC Web Conf.
Volume 410, 2025
2025 3rd International Conference on Materials Engineering, New Energy and Chemistry (MENEC 2025)
|
|
|---|---|---|
| Article Number | 04010 | |
| Number of page(s) | 8 | |
| Section | Intelligent Systems and Sensor Technologies for Autonomous Operations | |
| DOI | https://doi.org/10.1051/matecconf/202541004010 | |
| Published online | 24 July 2025 | |
Multi-Sensor Fusion Technology Based on Aircraft: The Implementation of Aircraft State Monitoring
1 Science in Interaction Design, ArtCenter College of Art and Design, California, 91103, United States
2 Electronic Engineering, Xidian University, shanxi, 710071, China
* Corresponding author: zbai2@inside.artcenter.edu
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.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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