Autonomous flight insurance method of unmanned aerial vehicles Parot Mambo using semantic segmentation data

Autonomous navigation of unmanned aerial vehicles (UAVs) has become in the past decade an extremely attracting topic, also due to the increasing availability of affordable equipment and open-source control and processing software environments. This demand has also raised a strong interest in develop...

Full description

Bibliographic Details

Published in:	Радіоелектронні і комп'ютерні системи
Main Authors:	David Naso, Olha Pohudina, Andrii Pohudin, Sergiy Yashin, Rossella Bartolo
Format:	Article
Language:	English
Published:	National Aerospace University «Kharkiv Aviation Institute» 2023-03-01
Subjects:	unmanned aerial vehicles convolutional neural network semantic segmentation flight control system occupancy grid
Online Access:	http://nti.khai.edu/ojs/index.php/reks/article/view/1929