Publication detail

Autonomously Navigated UAVs by Image Detection

JANOUŠEK, J.

Original Title

Autonomously Navigated UAVs by Image Detection

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

This article is focused on the real-time detection and recognition of the objects by using a camera located on UAV . The detected objects in the image carry information about the next points of the flight plan according to which the drone performs an autonomous flight. The drone can recognize the information encoded in the patterns on the ground by the field of view of the camera, therefore, it can perform flight manoeuvres consequently. The detec-tion and information recognition is performed by a microcomputer and it is based on compar-ing images with a predefined Haar cascade. The microcomputer on the drone recognizes a size and spacing of the individual contrast points which determine the partial information about the next flight path. Afterward, the microprocessor transmits the detected information to the Pixhawk control unit by using the Mavlink protocol in real-time. The aircraft control unit ensures the accurate positioning of the UAV by sequential execution of the commands.

Keywords

Image processing, Haar, UAV, Autonomous, Mavlink

Authors

JANOUŠEK, J.

Released

27. 4. 2021

Publisher

Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií

Location

Brno

ISBN

978-80-214-5942-7

Book

EEEICT_2021

Pages to

5

Pages count

5

BibTex

@inproceedings{BUT171590,
  author="Jiří {Janoušek}",
  title="Autonomously Navigated UAVs by Image Detection",
  booktitle="EEEICT_2021",
  year="2021",
  pages="5",
  publisher="Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií",
  address="Brno",
  isbn="978-80-214-5942-7"
}