Real-Time Onboard 3D State Estimation of an Unmanned Aerial Vehicle in Multi-Environments Using Multi-Sensor Data Fusion

The question of how to estimate the state of an unmanned aerial vehicle (UAV) in real time in multi-environments remains a challenge. Although the global navigation satellite system (GNSS) has been widely applied, drones cannot perform position estimation when a GNSS signal is not available or the G...

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Detalles Bibliográficos
Autores principales: Du, Hao, Wang, Wei, Xu, Chaowen, Xiao, Ran, Sun, Changyin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039290/
https://www.ncbi.nlm.nih.gov/pubmed/32050470
http://dx.doi.org/10.3390/s20030919

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039290/
https://www.ncbi.nlm.nih.gov/pubmed/32050470
http://dx.doi.org/10.3390/s20030919

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