Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Álvaro Arcos-García"'
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
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This paper presents a Deep Learning approach for traffic sign recognition systems. Several classification experiments are conducted over publicly available traffic sign datasets from Germany and Belgium using a Deep Neural Network which comprises Con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff7f6867e13b8b5e46fa82bd93795904
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
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Traffic sign detection systems constitute a key component in trending real-world applications, such as autonomous driving, and driver safety and assistance. This paper analyses the state-of-the-art of several object-detection systems (Faster R-CNN, R
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3b929314ad407fdc261a1cf9444413f
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
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This paper presents an efficient two-stage traffic sign recognition system. First, 3D point cloud data is acquired by a LINX Mobile Mapper system and processed to automatically detect traffic signs based on their retro-reflective material. Then, clas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3077148c4a3781c30d84a9edfb50173
Autor:
Stefano Chessa, Juan Antonio Álvarez-García, Michele Girolami, Luigi Fortunati, Álvaro Arcos García
Publikováno v:
Ambient Intelligence-Software and Applications, edited by Helena Lindgren et al..., pp. 21–29. Berlin: SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, W-1000 BERLIN 33, GERMANY, 2016
info:cnr-pdr/source/autori:Alvarez-Garcia J.A.; Arcos Garcia A.; Chessa S.; Fortunati L.; Girolami M./titolo:Detecting social interactions in working environments through sensing technologies/titolo_volume:Ambient Intelligence-Software and Applications/curatori_volume:Helena Lindgren et al.../editore: /anno:2016
Ambient Intelligence-Software and Applications – 7th International Symposium on Ambient Intelligence (ISAmI 2016) ISBN: 9783319401133
ISAmI
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
info:cnr-pdr/source/autori:Alvarez-Garcia J.A.; Arcos Garcia A.; Chessa S.; Fortunati L.; Girolami M./titolo:Detecting social interactions in working environments through sensing technologies/titolo_volume:Ambient Intelligence-Software and Applications/curatori_volume:Helena Lindgren et al.../editore: /anno:2016
Ambient Intelligence-Software and Applications – 7th International Symposium on Ambient Intelligence (ISAmI 2016) ISBN: 9783319401133
ISAmI
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
The knowledge about social ties among humans is important to optimize several aspects concerning networking in mobile social networks. Generally, ties among people are detected on the base of proximity of people. We discuss here how ties concerning c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d3837a8dbc2d17debae821ca683bec0
https://publications.cnr.it/doc/355583
https://publications.cnr.it/doc/355583
Autor:
Carlos Marcelo, Carmen Yot-Domínguez, Juan Antonio Ortega-Ramirez, Álvaro Arcos-García, Juan Antonio Álvarez-García
Publikováno v:
International Journal of Mobile Learning and Organisation. 10:203
The adaptation possibilities provided by mobile devices strive to encompass and motivate students' education process by providing learning resources and activities adapted to their specific needs, characteristics, conditions and circumstances. Contex