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Unsupervised Fault Detection on Unmanned Aerial Vehicles: Encoding and Thresholding Approach †
Unmanned Aerial Vehicles are expected to create enormous benefits to society, but there are safety concerns in recognizing faults at the vehicle’s control component. Prior studies proposed various fault detection approaches leveraging heuristics-based rules and supervised learning-based models, but...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8004241/ https://www.ncbi.nlm.nih.gov/pubmed/33809830 http://dx.doi.org/10.3390/s21062208 |