Adapting Computer Vision Algorithms to Smartphone-based Robot for Education

Esteban A. Esquivel-Barboza, Luis F. Llamas, Pablo Vazquez, Francisco Bellas, Esteban Arias-Mendez

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

5 Citas (Scopus)

Resumen

Robobo is a smartphone-based educational robot used on multiple education stages. The following paper describes the development and testing of three computer vision algorithms that run natively in Robobo. They perform real-Time object identification, ArUcO marker detection, and lane detection. With them, the students that use the Robobo robot can develop highly realistic projects on mobile robotics. This brings robotics teaching closer to real robotics, where advanced computer vision algorithms are widely used. The characterization of the algorithms that are presented in this document shows that their performance is very high in comparison to implementations that run on a standard computer.

Idioma originalInglés
Título de la publicación alojada2020 4th International Conference on Multimedia Computing, Networking and Applications, MCNA 2020
EditoresMohammad Alsmirat, Yaser Jararweh, Jaime Lloret, Moayad Aloqaily
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas51-56
Número de páginas6
ISBN (versión digital)9781728183732
DOI
EstadoPublicada - 19 oct 2020
Evento4th International Conference on Multimedia Computing, Networking and Applications, MCNA 2020 - Valencia, Espana
Duración: 19 oct 202022 oct 2020

Serie de la publicación

Nombre2020 4th International Conference on Multimedia Computing, Networking and Applications, MCNA 2020

Conferencia

Conferencia4th International Conference on Multimedia Computing, Networking and Applications, MCNA 2020
País/TerritorioEspana
CiudadValencia
Período19/10/2022/10/20

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