An Efficient Visual Fiducial Localisation System
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00317935" target="_blank" >RIV/68407700:21230/17:00317935 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.sigapp.org/acr/Issues/V17.3/ACR%2017-3.pdf" target="_blank" >https://www.sigapp.org/acr/Issues/V17.3/ACR%2017-3.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3019612.3019709" target="_blank" >10.1145/3019612.3019709</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
An Efficient Visual Fiducial Localisation System
Popis výsledku v původním jazyce
With use cases that range from external localisation of single robots or robotic swarms to self-localisation in marker augmented environments and simplifying perception by tagging objects in a robot’s surrounding, fiducial markers have a wide field of application in the robotic world. We propose a new family of circular markers which allow for both computationally efficient detection, tracking and identification and full 6D position estimation. At the core of the proposed approach lies the separation of the detection and identification steps, with the former using computationally efficient circular marker detection and the latter utilising an open-ended `necklace encoding’, allowing scalability to a large number of individual markers. While the proposed algorithm achieves similar accuracy to other state-of-the-art methods, its experimental evaluation in realistic conditions demonstrates that it can detect markers from larger distances while being up to two orders of magnitude faster than other stateof-the art fiducial marker detection methods. In addition, the entire system is available as an open-source package at https://github.com/LCAS/whycon.
Název v anglickém jazyce
An Efficient Visual Fiducial Localisation System
Popis výsledku anglicky
With use cases that range from external localisation of single robots or robotic swarms to self-localisation in marker augmented environments and simplifying perception by tagging objects in a robot’s surrounding, fiducial markers have a wide field of application in the robotic world. We propose a new family of circular markers which allow for both computationally efficient detection, tracking and identification and full 6D position estimation. At the core of the proposed approach lies the separation of the detection and identification steps, with the former using computationally efficient circular marker detection and the latter utilising an open-ended `necklace encoding’, allowing scalability to a large number of individual markers. While the proposed algorithm achieves similar accuracy to other state-of-the-art methods, its experimental evaluation in realistic conditions demonstrates that it can detect markers from larger distances while being up to two orders of magnitude faster than other stateof-the art fiducial marker detection methods. In addition, the entire system is available as an open-source package at https://github.com/LCAS/whycon.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
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OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
<a href="/cs/project/GJ17-27006Y" target="_blank" >GJ17-27006Y: Prostorově temporální representace pro dlouhodobou navigaci mobilních robotů</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2017
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
ACM SIGAPP Applied Computing Review
ISSN
1559-6915
e-ISSN
1559-6915
Svazek periodika
17
Číslo periodika v rámci svazku
3
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
11
Strana od-do
28-38
Kód UT WoS článku
000419442400003
EID výsledku v databázi Scopus
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