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.
College and Department
Physical and Mathematical Sciences; Computer Science
BYU ScholarsArchive Citation
Rasmussen, Nathan D., "Combined Visible and Infrared Video for Use in Wilderness Search and Rescue" (2009). All Theses and Dissertations. 1787.
unmanned aerial vehicle, UAV, camera calibration, Wilderness Search and Rescue, color camera, infrared camera, search, surveillance