Algorithm for Navigation of an Autonomous Unmanned Aerial Vehicle Using Levy Flight and Simplex Minimization
Invention type: Technology
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Case number: #16529L
Described herein is an unmanned aerial vehicle (UAV) system that incorporates sensor data to statistically minimize the time to autonomously locate a target on the ground. The system uses a two-stage approach to finding the RF target: 1) randomized flight, such as Lévy fight, to search the ground space and, 2) a geo-localization process, such as a simplex minimization process, to home in on the target.
Researchers
Charles Coldwell
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Michael Park
Departments: Lincoln Laboratory
Technology Areas: Artificial Intelligence (AI) and Machine Learning (ML) / Communication Systems: Wireless / Sensing & Imaging: Optical Sensing
Impact Areas: Connected World
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method and apparatus for locating a target using an autonomous unmanned aerial vehicle
United States of America | Granted | 9,696,430
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