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- W4283662765 abstract "Unmanned aerial vehicles (UAVs) are widely used nowadays for photography, surveillance, mapping and research purposes. These aircrafts control relies on monitoring their location by constantly combining accelerometers inertial navigation system (INS) with satellite communication (GPS). The latter is usually referred to as localization. Alas, a UAV navigation system that relies on GPS is vulnerable to signal failure or initiated interruptions. In this study we will propose a new approach to use the camera installed on the device for localization purposes, such that it could be used as an alternative when the satellite navigation system malfunctions, and/or be easily incorporated into a sensor fusion framework. We will present a vision-based localization method that finds the location of a camera by first comparing the observed image to an orthophoto map and then, using simple geometric approach to localize the camera. The method includes projecting the outer shape of the observed frame onto the map image plane using the fundamental matrix. Then, the camera geolocation is obtained from a simple geometric relation with the frame shape. This research includes a background overview in image processing, and a mathematical analysis of the problem that the project intends to solve. Furthermore, the proposed solution is presented followed by a preliminary simulation which compares our first results to other well-known methods. Then, a description of the algorithm that was used to implement our method is presented, including flowcharts and explanation on its various phases." @default.
- W4283662765 created "2022-06-29" @default.
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- W4283662765 date "2022-06-09" @default.
- W4283662765 modified "2023-10-18" @default.
- W4283662765 title "Localization and Identification of UAVs System Using Image Processing" @default.
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- W4283662765 doi "https://doi.org/10.1109/hora55278.2022.9799827" @default.
- W4283662765 hasPublicationYear "2022" @default.
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