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

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...

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Bibliographic Details
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
Series:Радіоелектронні і комп'ютерні системи
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

Internet

http://nti.khai.edu/ojs/index.php/reks/article/view/1929

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