Directional Statistics for 3D Model-Based UAV Tracking

Directional Statistics for 3D Model-Based UAV Tracking

We present a vision system based on a monocular camera to track the 3D position and orientation of an Unmanned Aerial Vehicle (UAV) during the landing process aboard a ship. The proposed method uses a 3D model-based approach based on a Particle Filter (PF) with proposal distributions given by an Uns...

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Bibliographic Details
Main Authors: Nuno Pessanha Santos, Victor Lobo, Alexandre Bernardino
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Unmanned aerial vehicles
computer vision
motion estimation
algorithm design and analysis
military vehicles
Online Access:https://ieeexplore.ieee.org/document/8999508/

Internet

https://ieeexplore.ieee.org/document/8999508/

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