Autonomously Navigated UAVs by Image Detection

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F21%3APU140870" target="_blank" >RIV/00216305:26220/21:PU140870 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Autonomously Navigated UAVs by Image Detection

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Autonomously Navigated UAVs by Image Detection

Popis výsledku anglicky

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.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů