Runway detection from map, video and aircraft navigational data
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Authors
Gloria, Jose R. Espinosa
Subjects
runway
map
aircraft
video
detection
rotation matrix
Hough transform.
map
aircraft
video
detection
rotation matrix
Hough transform.
Advisors
Cristi, Roberto
Yakimenko, Oleg
Date of Issue
2016-03
Date
Mar-16
Publisher
Monterey, California: Naval Postgraduate School
Language
Abstract
As part of the reinforcement of operations performed by the Mexican Navy, unmanned aerial vehicles (UAV) have been equipped with daylight and infrared cameras. Processing the video information obtained from these devices opens the door to a number of strategic opportunities. By recognizing patterns in visual sources, we address one problem in particular: how to achieve corresponding runways using a map and an individual frame of video. An approach to runway detection using two tools is presented in this thesis. The first tool is a geographical information program, which is used to set the runway map we want to detect. The second tool is a video frame of the same runway, recorded in a camera mounted on a UAV. The needed equations and related algorithms are developed and tested on a simulation that reconstructs the three-dimensional view of the aircraft camera employing the map and navigational data. Next, the algorithms are implemented using actual video frames. Finally, mismatches in the runway detection due to sensor noise and to an assumption made on the aircraft roll orientation angle are corrected using image-processing techniques, such as the Hough transform for linear features.
Type
Thesis
Description
Series/Report No
Department
Electrical and Computer Engineering
Electrical and Computer Engineering
Organization
Identifiers
NPS Report Number
Sponsors
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Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
Copyright is reserved by the copyright owner.