Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Zhida Lai"'
Publikováno v:
IEEE Access, Vol 5, Pp 5723-5730 (2017)
Fatigued driving detection, which employs pattern recognition to discover the state of a driver's fatigue, is considered a key technique to improve road safety. However, the widely used frontal face recognition systems have problems, such as low reco
Externí odkaz:
https://doaj.org/article/359847ac67b2456c81444a18ef784beb
Publikováno v:
Applied Computational Electromagnetics Society Journal. Aug2019, Vol. 38 Issue 8, p1226-1233. 8p.
Publikováno v:
IEEE Access, Vol 5, Pp 5723-5730 (2017)
Fatigued driving detection, which employs pattern recognition to discover the state of a driver’s fatigue, is considered a key technique to improve road safety. However, the widely used frontal face recognition systems have problems, such as low re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a8eb66a293d4692a377d0dcef22c763
https://ieeexplore.ieee.org/document/7888455/
https://ieeexplore.ieee.org/document/7888455/
Publikováno v:
Applied Computational Electromagnetics Society Journal. Mar2016, Vol. 31 Issue 3, p279-287. 9p.
Autor:
Gao Yangchun, Min Chen, Tao Chen, Jianmei Lei, Qingwen Han, Yang Xu, Rui Chen, Zhida Lai, Li Xiaojiao
Publikováno v:
12th European Conference on Antennas and Propagation (EuCAP 2018).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e0feed24414a356666c20ff5cd7c2fd
https://doi.org/10.1049/cp.2018.0718
https://doi.org/10.1049/cp.2018.0718
Publikováno v:
DEStech Transactions on Engineering and Technology Research.
Fatigue-driving detection, which employs pattern recognition measure to discover driver’s fatigue status, is considered as a key technique to improve road safety. However, the widely used frontal face recognition systems have some problems, such as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d3a2106eef7666b4902bb9a8c929022
https://doi.org/10.12783/dtetr/iceea2016/6680
https://doi.org/10.12783/dtetr/iceea2016/6680