Filtering Techniques for Pose Estimation with Applications to Unmanned Air Vehicles

Filtering Techniques for Pose Estimation with Applications to Unmanned Air Vehicles

This work presents two novel methods of estimating the state of a dynamic system in a Kalman Filtering framework. The first is an application specific method for use with systems performing Visual Odometry in a mostly planar scene. Because a Visual Odometry method inherently provides relative inform...

Full description

Bibliographic Details
Main Author: Ready, Bryce Benson
Format: Others
Published: BYU ScholarsArchive 2012
Subjects:
Riemannian manifold
Kalman filter
unmanned air vehicles
homography
image registration
direct image registration
visual odometry
Electrical and Computer Engineering
Online Access:https://scholarsarchive.byu.edu/etd/3490
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4489&context=etd

Internet

https://scholarsarchive.byu.edu/etd/3490
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4489&context=etd

Similar Items