| Issue |
E3S Web of Conf.
Volume 465, 2023
8th International Conference on Industrial, Mechanical, Electrical and Chemical Engineering (ICIMECE 2023)
|
|
|---|---|---|
| Article Number | 02068 | |
| Number of page(s) | 6 | |
| Section | Symposium on Electrical, Information Technology, and Industrial Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202346502068 | |
| Published online | 18 December 2023 | |
Landing Pad Detection and Computing Direction of Motion for Autonomous Precision Landing Quadcopter
Dept. of Electrical Engineering Universitas Sebelas Maret Surakarta, Indonesia
* jokohariyono@staff.uns.ac.id
This paper presents an algorithm for an autonomous quadcopter to perform autonomous precision landing. This research focuses on designing the quadcopter so that it can land precisely on the landing pad using image processing algorithms. First, the captured image will be converted to grayscale, then the thresholding method is carried out and followed by a morphological process to eliminate noise and produce a clear image. The detected image will be displayed in a frame that will calculate the distance to the middle point. It will be used as Pulse Width Modulation (PWM) input to adjust the direction of motion of the quadcopter. so that it can land autonomously. The algorithm was tested in several color pads which are located in the grass, sand and cluttered ground. Testing is carried out to test the accuracy and precision of the designed algorithm. The results of the experiment show an accuracy rate of 94.76% and a precision level of 96.59% with an average landing time of 19 seconds and an average detection time is 8.55 milliseconds.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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