N-Cameras-Enabled Joint Pose Estimation for Auto-Landing Fixed-Wing UAVs

N-Cameras-Enabled Joint Pose Estimation for Auto-Landing Fixed-Wing UAVs

We propose a novel 6D pose estimation approach tailored for auto-landing fixed-wing unmanned aerial vehicles (UAVs). This method facilitates the simultaneous tracking of both position and attitude using a ground-based vision system, regardless of the number of cameras (N-cameras), even in Global Nav...

Full description

Bibliographic Details
Main Authors: Dengqing Tang, Lincheng Shen, Xiaojia Xiang, Han Zhou, Jun Lai
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Drones
Subjects:
pose estimation
auto-landing fixed-wing UAVs
ground vision system
block convolutional neural networks
Online Access:https://www.mdpi.com/2504-446X/7/12/693

Internet

https://www.mdpi.com/2504-446X/7/12/693

Similar Items