LSAF-LSTM-Based Self-Adaptive Multi-Sensor Fusion for Robust UAV State Estimation in Challenging Environments

LSAF-LSTM-Based Self-Adaptive Multi-Sensor Fusion for Robust UAV State Estimation in Challenging Environments

Unmanned aerial vehicle (UAV) state estimation is fundamental across applications like robot navigation, autonomous driving, virtual reality (VR), and augmented reality (AR). This research highlights the critical role of robust state estimation in ensuring safe and efficient autonomous UAV navigatio...

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Bibliographic Details
Main Authors: Mahammad Irfan, Sagar Dalai, Petar Trslic, James Riordan, Gerard Dooly
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Machines
Subjects:
ROS
LSTM
adaptive fusion
multi-sensor fusion
state estimation
UAV
Online Access:https://www.mdpi.com/2075-1702/13/2/130
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