Paper
1 October 2018 Autonomic drone landing system based on LEDs pattern and visual markers recognition
Marcin Skoczylas, Łukasz Gadomer, Wojciech Walendziuk, Maciej Słowik
Author Affiliations +
Proceedings Volume 10808, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018; 108080F (2018) https://doi.org/10.1117/12.2501437
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, 2018, Wilga, Poland
Abstract
The idea of an autonomic drone landing system based on markers recognition and LEDs (Light-emitting diode) detection is presented in this paper. A safe landing process is one of the most important parts connected with drone mission. The proposed method consists of two main parts: marker recognition and LEDs detection. The issue of marker recognition was widely described in our previous research, in this paper, however, we present the idea of detecting LEDs placed near the marker to improve the detection process. The main problem connected with this issue is creation of the best possible LEDs detection algorithm which would make the detection process accurate and robust. Four different algorithms, that were created by the authors are presented and compared in order to select the best one. We also present the idea of the whole landing system based on both markers recognition and LEDs detection algorithms connected in the way that they make reliable and accurate solution.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Marcin Skoczylas, Łukasz Gadomer, Wojciech Walendziuk, and Maciej Słowik "Autonomic drone landing system based on LEDs pattern and visual markers recognition", Proc. SPIE 10808, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, 108080F (1 October 2018); https://doi.org/10.1117/12.2501437
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CITATIONS
Cited by 1 scholarly publication and 1 patent.
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KEYWORDS
Detection and tracking algorithms

Light emitting diodes

Visualization

Image analysis

Image processing

Unmanned aerial vehicles

Cameras

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