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- W4313256832 abstract "Fault diagnosis is a key component of navigation integrity assurance for aerial swarms. The redundancy of a navigation system is enhanced with the introduction of observations from optimally configured collaborative partners, thus improving the capabilities of fault detection, identification, and isolation. In this chapter, fault detection, identification, and exclusion based on collaborative integrity augmentation are discussed. Multifault detection based on multiple hypothesis solution separations in collaborative resilient navigation fusion for an aerial swam is proposed, with simulated examples." @default.
- W4313256832 created "2023-01-06" @default.
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- W4313256832 date "2023-01-01" @default.
- W4313256832 modified "2023-10-16" @default.
- W4313256832 title "Collaborative Fault Detection in Resilient Navigation" @default.
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- W4313256832 doi "https://doi.org/10.1007/978-981-19-8371-9_8" @default.
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