An Autonomous Drone for Image-Based Inspection of Bookshelves
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comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/146069
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https://doi.org/10.23919/EUSIPCO54536.2021.9616125 |
Metadades
Títol
An Autonomous Drone for Image-Based Inspection of BookshelvesData de publicació
2021Editor
IEEEISBN
9789082797060Cita bibliogràfica
E. Martinez-Martin, E. Ferrer, I. Vasilev and A. P. Del Pobil, "An Autonomous Drone for Image-Based Inspection of Bookshelves," 2021 29th European Signal Processing Conference (EUSIPCO), 2021, pp. 751-755, doi: 10.23919/EUSIPCO54536.2021.9616125.Tipus de document
info:eu-repo/semantics/conferenceObjectVersió de l'editorial
https://ieeexplore.ieee.org/document/9616125/authors#authorsVersió
info:eu-repo/semantics/publishedVersionParaules clau / Matèries
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Resum
This article introduces the UJI aerial library robot.
It uses visual techniques to self-locate and navigate autonomously
to find books and make automated inventories. A control strategy
for navigating along library ... [+]
This article introduces the UJI aerial library robot.
It uses visual techniques to self-locate and navigate autonomously
to find books and make automated inventories. A control strategy
for navigating along library shelves is presented, using visual
markers for self-positioning. An image-based book recognition
technique is described, which combines computer vision techniques to detect the labels on the spines of the books, and then
optical character recognition (OCR) to decode the book code into
text. These data can be used to make an inventory of the library.
Lost books can be detected automatically and a particular book
can be located in the library. Our quadrotor robot was tested in
a real library with promising results. [-]
Descripció
Ponència presentada en: 29th European Signal Processing Conference, EUSIPCO 2021
Publicat a
Actas 29th European Signal Processing Conference (EUSIPCO)Entitat finançadora
Ministerio de Economía y Competitividad | Universitat Jaume I | Generalitat Valenciana
Codi del projecte o subvenció
DPI2015-69041-R | UJI-B2018-74 | PROMETEO/20201034 | GV/ 2020/051
Drets d'accés
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