Accession Number : ADA620534


Title :   Assessment of Vision-Based Target Detection and Classification Solutions Using an Indoor Aerial Robot


Descriptive Note : Master's thesis


Corporate Author : NAVAL POSTGRADUATE SCHOOL MONTEREY CA


Personal Author(s) : Ramos, Nicole R


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a620534.pdf


Report Date : Sep 2014


Pagination or Media Count : 111


Abstract : The role of unmanned aerial vehicles (UAVs) in military, commercial and recreational applications is continuously evolving as developments in technology increase capabilities. The research herein presents an inexpensive computer-vision-based solution for detection and classification of a stationary target with a mobile aerial sensor as a prototyping platform. The main goal of this system is to use commercial-off-the-shelf and open-source components to reduce design complexity to provide a legacy product for future development of specific capabilities. Color imagery collected during flight using a low-resolution camera is used to test the application of a simple algorithm against a commercially available and low cost sensor. Original image processing algorithms that leverage the existing body of works in the open-source community are developed and tested within the Systems Engineering construct. System architecture leverages a modular approach that can be easily modified and adapted to changing requirements and objectives. Conclusions are drawn and recommendations for further study and system development are presented.


Descriptors :   *COMPUTER VISION , *INFRARED CAMERAS , *ROBOTS , *SURVEILLANCE DRONES , *TARGET DETECTION , ADAPTIVE SYSTEMS , ALGORITHMS , GRAPHICAL USER INTERFACE , IMAGE PROCESSING , LOW RESOLUTION , MATHEMATICAL FILTERS , MULTISENSORS , NETWORK ARCHITECTURE , OFF THE SHELF EQUIPMENT , SEARCH RADAR , SYSTEMS ENGINEERING , TARGET CLASSIFICATION , TEST AND EVALUATION , THESES , VERTICAL LANDINGS , VISUAL PERCEPTION


Subject Categories : Pilotless Aircraft
      Cybernetics
      Infrared Detection and Detectors
      Human Factors Engineering & Man Machine System


Distribution Statement : APPROVED FOR PUBLIC RELEASE