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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Proceedings (International Conference on Communication Software and Networks) s. 280 - 285
Hlavní autoři: Liu, Peigang, He, Peng, Gao, Xiaobo, Deng, Ping, Ge, Lei, Li, Pei
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 21.07.2023
Témata:
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
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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