Procapra Przewalskii Tracking Autonomous Unmanned Aerial Vehicle Based on Improved Long and Short-Term Memory Kalman Filters

This paper presents an autonomous unmanned-aerial-vehicle (UAV) tracking system based on an improved long and short-term memory (LSTM) Kalman filter (KF) model. The system can estimate the three-dimensional (3D) attitude and precisely track the target object without manual intervention. Specifically...

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Detalles Bibliográficos
Autores principales: Luo, Wei, Zhao, Yongxiang, Shao, Quanqin, Li, Xiaoliang, Wang, Dongliang, Zhang, Tongzuo, Liu, Fei, Duan, Longfang, He, Yuejun, Wang, Yancang, Zhang, Guoqing, Wang, Xinghui, Yu, Zhongde
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10144096/
https://www.ncbi.nlm.nih.gov/pubmed/37112289
http://dx.doi.org/10.3390/s23083948

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10144096/
https://www.ncbi.nlm.nih.gov/pubmed/37112289
http://dx.doi.org/10.3390/s23083948

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