Research on Multi-sensor Fusion Algorithm Based on Improved DS Evidence Theory

The traditional airport runway foreign object automatic detection system has a single monitoring method for foreign objects, and the multi technology system monitoring method is the future development trend. However, when multiple technology systems monitor, the fusion algorithm is prone to evidence...

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Veröffentlicht in:Proceedings (International Conference on Communication Software and Networks) S. 280 - 285
Hauptverfasser: Liu, Peigang, He, Peng, Gao, Xiaobo, Deng, Ping, Ge, Lei, Li, Pei
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 21.07.2023
Schlagworte:
airport runway foreign object automatic detection system
Airports
Correlation
cross-correlation factor
D-S evidence theory
evidence conflict
Evidence theory
Feature extraction
Fuses
fusion algorithm
Software algorithms
ISSN:2472-8489
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Zusammenfassung:The traditional airport runway foreign object automatic detection system has a single monitoring method for foreign objects, and the multi technology system monitoring method is the future development trend. However, when multiple technology systems monitor, the fusion algorithm is prone to evidence conflict and failure. This article proposes a multi-sensor fusion algorithm based on the improved D-S evidence theory to address the issue of evidence conflict and failure. The fusion algorithm introduces the cross-correlation factor between various evidence, To achieve better integration of multi technology systems in complex situations.
ISSN:2472-8489
DOI:10.1109/ICCSN57992.2023.10297375