Browsing by Author "Manore, Curtis"

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    Maximizing object detection using sUAS
    (SPIE, 2021-01-04) Manore, Curtis; Manjunath, Pratheek; Larkin, Dominic; Wolfgang Osten; Jianhong Zhou; Dmitry P. Nikolaev
    This paper examines optimal look-angles for a camera which is mounted on a small unmanned aerial system (sUAS), that provides for maximized object detection on the ground. Using a generic convolutional neural network (CNN), this research identifies the best angle for detecting a ground target from an aerial perspective. The study involves altering camera angles on an sUAS that is flown along a fixed trajectory and then determining the angle which provides the highest detection rate of predefined objects, which are emplaced at known locations on the ground. The experiment is conducted in simulation and validated on a physical quadcopter. The results of this paper directly influence the U.S. Army’s research efforts on training neural networks and developing object detection algorithms.
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    Performance of Single Board Computers for Vision Processing
    (IEEE, 2021-01-27) Manore, Curtis; Manjunath, Pratheek; Larkin, Dominic
    With the increasing complexity of machine vision algorithms and growing applications of image processing, how do computers without a dedicated graphics processor perform? This research discusses the computational abilities of two low-cost single board computers (SBCs) by subjecting them to various Visual Inertial Odometry (VIO) algorithms. The end goal of this research is to identify a SBC which meets the requirements of being employed on an Unmanned Aerial System for autonomous navigation.