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

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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Bibliographic Details
Main Authors: Wei Luo, Yongxiang Zhao, Quanqin Shao, Xiaoliang Li, Dongliang Wang, Tongzuo Zhang, Fei Liu, Longfang Duan, Yuejun He, Yancang Wang, Guoqing Zhang, Xinghui Wang, Zhongde Yu
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Sensors
Subjects:
Procapra przewalskii protection
autonomous unmanned aerial vehicle
object tracking
Kalman filter
long and short-term memory
Online Access:https://www.mdpi.com/1424-8220/23/8/3948

Internet

https://www.mdpi.com/1424-8220/23/8/3948

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