- Tytuł:
- Vision analysis system for autonomous landing of micro drone
- Autorzy:
- Skoczylas, M.
- Powiązania:
- https://bibliotekanauki.pl/articles/386669.pdf
- Data publikacji:
- 2014
- Wydawca:
- Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
- Tematy:
-
unmanned aerial vehicle
micro drone
image analysis
CCD camera
keypoints descriptors
SIFT
SURF
BRISK
object tracking
CAMSHIFT
bezzałogowy obiekt latający
dron
analiza obrazów
śledzenie obiektu - Opis:
- This article describes a concept of an autonomous landing system of UAV (Unmanned Aerial Vehicle). This type of device is equipped with the functionality of FPV observation (First Person View) and radio broadcasting of video or image data. The problem is performance of a system of autonomous drone landing in an area with dimensions of 1m × 1m, based on CCD camera coupled with an image transmission system connected to a base station. Captured images are scanned and landing marker is detected. For this purpose, image features detectors (such as SIFT, SURF or BRISK) are utilized to create a database of keypoints of the landing marker and in a new image keypoints are found using the same feature detector. In this paper results of a framework that allows detection of definedmarker for the purpose of drone landing field positioning will be presented.
- Źródło:
-
Acta Mechanica et Automatica; 2014, 8, 4; 199-203
1898-4088
2300-5319 - Pojawia się w:
- Acta Mechanica et Automatica
- Dostawca treści:
- Biblioteka Nauki
Artykuł