Title
Landing A Uav On A Runway Using Image Registration
Abstract
In this paper we present a system that uses only vision to land a UAV on a runway. We describe a method for estimating the relative location of the runway as an image by performing image registration against a stack of images in which the location of the runway is known. An approximation of the camera projection model for a forward-facing view of a runway is derived, allowing the course deviation of the UAV to be estimated from a registered image. The course deviation is used as input to a linear feedback control loop to maintain the correct flight path. Our method is implemented as a real-time multithreaded application, which is used to control an aircraft in Microsoft Flight Simulator. We also show results of applying the vision component of the system to video recorded from an actual UAV. ©2008 IEEE.
Publication Date
9-18-2008
Publication Title
Proceedings - IEEE International Conference on Robotics and Automation
Number of Pages
182-187
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/ROBOT.2008.4543206
Copyright Status
Unknown
Socpus ID
51649097906 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/51649097906
STARS Citation
Miller, Andrew; Shah, Mubarak; and Harper, Don, "Landing A Uav On A Runway Using Image Registration" (2008). Scopus Export 2000s. 10229.
https://stars.library.ucf.edu/scopus2000/10229