Abstract
Mini Unmanned Aerial Vehicles (mUAVs) have the potential to be a great asset to Wilderness Search and Rescue groups by providing a bird's eye view of the search area. These vehicles can carry a variety of sensors to better understand the world below. This paper proposes using both Infrared (IR) and Visible Spectrum cameras on a mUAV for Wilderness Search and Rescue. It details a method for combining the color and heat information from these two cameras into a single fused display to reduce needed screen space for remote field use. To align the video frames for fusion, a method for simultaneously pre-calibrating the intrinsic and extrinsic parameters of the cameras and their mount using a single multi-spectral calibration rig is also presented. A user study conducted to validate the proposed image fusion methods showed no reduction in performance when detecting objects of interest in the single-screen fused display compared to a side-by-side display. Furthermore, the users' increased performance on a simultaneous auditory task showed that increased performance on a simultaneous auditory task showed that their cognitive load was reduced when using the fused display.
Degree
MS
College and Department
Physical and Mathematical Sciences; Computer Science
Rights
http://lib.byu.edu/about/copyright/
BYU ScholarsArchive Citation
Rasmussen, Nathan D., "Combined Visible and Infrared Video for Use in Wilderness Search and Rescue" (2009). Theses and Dissertations. 1787.
https://scholarsarchive.byu.edu/etd/1787
Date Submitted
2009-03-20
Document Type
Thesis
Handle
http://hdl.lib.byu.edu/1877/etd2854
Keywords
unmanned aerial vehicle, UAV, camera calibration, Wilderness Search and Rescue, color camera, infrared camera, search, surveillance
Language
English