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DOI: 10.14569/IJACSA.2022.0130806
PDF

Automatic Detection of Roads using Aerial Photographs and Calculation of the Optimal Overflight Route for a Fixed-wing Drone

Author 1: Miguel Pérez P
Author 2: Holman Montiel A
Author 3: Fredy Martínez S

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 8, 2022.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Currently, fixed-wing drones have become indispensable tools for the surveillance of large areas of land, justified by their better cost/benefit ratio, great flight autonomy, and payload capacity. In particular, the identification of roads, traffic control, monitoring of wear on asphalt layers, risk identification, and safety improvement are applications that are being implemented in these unmanned aerial vehicles. Tracking a road requires systems capable of detecting artificial marks through images employing aerial photographs that allow the implementation of optimal overflight routes. This research work presents a solution to the problem of road tracking from aerial photographs and implements an image processing algorithm and morphological techniques that calculate and traces the ideal route for the drone to track automatically, regardless of its orientation and the type of road.

Keywords: Automatic road tracking; decorrelation stretching; aerial imagery; optimal overflight route calculation; UAV

Miguel Pérez P, Holman Montiel A and Fredy Martínez S, “Automatic Detection of Roads using Aerial Photographs and Calculation of the Optimal Overflight Route for a Fixed-wing Drone” International Journal of Advanced Computer Science and Applications(IJACSA), 13(8), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130806

@article{P2022,
title = {Automatic Detection of Roads using Aerial Photographs and Calculation of the Optimal Overflight Route for a Fixed-wing Drone},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130806},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130806},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {8},
author = {Miguel Pérez P and Holman Montiel A and Fredy Martínez S}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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