Image Processing on Raspberry Pi for Mobile Robotics

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU120616" target="_blank" >RIV/00216305:26220/16:PU120616 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.ijsps.com" target="_blank" >http://www.ijsps.com</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.13140/RG.2.1.1440.7281" target="_blank" >10.13140/RG.2.1.1440.7281</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Image Processing on Raspberry Pi for Mobile Robotics

Popis výsledku v původním jazyce

We have designed a small robot called Cube for simple robotics tasks and students works. The Cube carries only small and lightweight computational platform Raspberry Pi equipped with a camera. This paper serves as an introduction to using image processing methods on a Raspberry Pi platform via Simulink in Matlab. We have designed a cheap framework for fast image processing in real-time including feature extraction and image transformation methods. In the paper a several selected methods frequently used not only in robotics are implemented and tested on the Raspberry Pi 2 equipped with a native camera board. Algorithms for edge, corner and line detection have been implemented by using Simulink with the Computer Vision System Toolbox and other in-build tools.

Název v anglickém jazyce

Image Processing on Raspberry Pi for Mobile Robotics

Popis výsledku anglicky

We have designed a small robot called Cube for simple robotics tasks and students works. The Cube carries only small and lightweight computational platform Raspberry Pi equipped with a camera. This paper serves as an introduction to using image processing methods on a Raspberry Pi platform via Simulink in Matlab. We have designed a cheap framework for fast image processing in real-time including feature extraction and image transformation methods. In the paper a several selected methods frequently used not only in robotics are implemented and tested on the Raspberry Pi 2 equipped with a native camera board. Algorithms for edge, corner and line detection have been implemented by using Simulink with the Computer Vision System Toolbox and other in-build tools.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JB - Senzory, čidla, měření a regulace

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název periodika

International Journal of Signal Processing Systems

ISSN

2315-4535

e-ISSN

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Svazek periodika

4

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

5

Strana od-do

494-498

Kód UT WoS článku

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EID výsledku v databázi Scopus

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