Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Josue S. Armenta"'
Autor:
Jose M. Ramirez, Marcela D. Rodriguez, Angel G. Andrade, Luis A. Castro, Jessica Beltran, Josue S. Armenta
Publikováno v:
IEEE Access, Vol 7, Pp 185422-185432 (2019)
Driver distraction is one of the major causes of accidents. Most methods for inferring distracted driving behaviors are vision-based systems that determine the head's orientation. One of the significant challenges of this approach is to develop robus
Externí odkaz:
https://doaj.org/article/77aa032eb429488d8fbd9e99141babea
Autor:
Ernesto M. Vera, Josue S. Armenta, Leslie P. Hernandez-Vidal, Marcela D. Rodriguez, Hussein Lopez-Nava, Sarid Garcia-Perez
Publikováno v:
2022 IEEE Mexican International Conference on Computer Science (ENC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89061b8499d219a9a70cdb264183d25b
https://doi.org/10.1109/enc56672.2022.9882935
https://doi.org/10.1109/enc56672.2022.9882935
Publikováno v:
IEEE Sensors Journal. 21:12295-12305
Understanding how changes in visual and attentional behaviors impact driving as we age is still a subject studied by the research community. However, little attention has been paid to using sensing and AI techniques to conduct such studies. We presen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::550c7298b4d9f54781d41bf453cdf879
https://doi.org/10.1109/jsen.2021.3064080
https://doi.org/10.1109/jsen.2021.3064080
Autor:
Jessica Beltrán, Josue S. Armenta, José M. Ramírez, Ángel G. Andrade, Luis A. Castro, Marcela D. Rodríguez
Publikováno v:
IEEE Access. 7:185422-185432
Driver distraction is one of the major causes of accidents. Most methods for inferring distracted driving behaviors are vision-based systems that determine the head’s orientation. One of the significant challenges of this approach is to develop rob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0dd02cd0ab0fd08cbfb2789ac1cdf7c1
https://doi.org/10.1109/access.2019.2960567
https://doi.org/10.1109/access.2019.2960567
Publikováno v:
Proceedings, Vol 31, Iss 1, p 34 (2019)
UCAmI
UCAmI
Most studies on driving behaviors use video-cameras and simulators. It involves human observers to code the video data to be later analyzed, which can be a demanding task. We propose a sensing architecture to conduct studies on driving behaviors unde
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d69e4fd468b745cbf0570cc153824327
https://www.mdpi.com/2504-3900/31/1/34
https://www.mdpi.com/2504-3900/31/1/34