UAV Sensor Fault Detection Using a Classifier without Negative Samples: A Local Density Regulated Optimization Algorithm†

Fault detection for sensors of unmanned aerial vehicles is essential for ensuring flight security, in which the flight control system conducts real-time control for the vehicles relying on the sensing information from sensors, and erroneous sensor data will lead to false flight control commands, cau...

Descripción completa

Detalles Bibliográficos
Autores principales: Guo, Kai, Liu, Liansheng, Shi, Shuhui, Liu, Datong, Peng, Xiyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412968/
https://www.ncbi.nlm.nih.gov/pubmed/30781865
http://dx.doi.org/10.3390/s19040771

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412968/
https://www.ncbi.nlm.nih.gov/pubmed/30781865
http://dx.doi.org/10.3390/s19040771

Ejemplares similares