Improved pose estimation of aruco tags using a novel 3d placement strategy

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F20%3A10245250" target="_blank" >RIV/61989100:27230/20:10245250 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/1424-8220/20/17/4825" target="_blank" >https://www.mdpi.com/1424-8220/20/17/4825</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/s20174825" target="_blank" >10.3390/s20174825</a>

Result language
angličtina
Original language name
Improved pose estimation of aruco tags using a novel 3d placement strategy
Original language description
This paper extends the topic of monocular pose estimation of an object using Aruco tags imaged by RGB cameras. The accuracy of the Open CV Camera calibration and Aruco pose estimation pipelines is tested in detail by performing standardized tests with multiple Intel Realsense D435i Cameras. Analyzing the results led to a way to significantly improve the performance of Aruco tag localization which involved designing a 3D Aruco board, which is a set of Aruco tags placed at an angle to each other, and developing a library to combine the pose data from the individual tags for both higher accuracy and stability.
Czech name
—
Czech description
—

Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20301 - Mechanical engineering

Project
<a href="/en/project/EF17_049%2F0008425" target="_blank" >EF17_049/0008425: A Research Platform focused on Industry 4.0 and Robotics in Ostrava Agglomeration</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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