Enhancing Integrated Navigation with a Self-Attention LSTM Hybrid Network for UAVs in GNSS-Denied Environments

Enhancing Integrated Navigation with a Self-Attention LSTM Hybrid Network for UAVs in GNSS-Denied Environments

Performing long-duration navigation without the global navigation satellite system (GNSS) network is a challenging task, particularly for small unmanned aerial vehicles (UAVs) equipped with low-cost micro-electro-mechanical sensors. This study proposes a hybrid neural network that integrates self-at...

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Bibliographic Details
Main Authors: Ziyi Wang, Xiaojun Shen, Jie Li, Juan Li, Xueyong Wu, Yu Yang
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Drones
Subjects:
fixed-wing UAV
integrated navigation
GNSS-denied
self-attention
LSTM
Online Access:https://www.mdpi.com/2504-446X/9/4/279
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