Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Tin Trung Duong"'
A Deep Learning Framework for Robust and Real-Time Taillight Detection Under Various Road Conditions
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:20061-20072
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dba035c396486b15b6a931851c6c8e2c
https://doi.org/10.1109/tits.2022.3178697
https://doi.org/10.1109/tits.2022.3178697
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
IMCOM
In this research, a multitask convolutional neural network that can do end-to-end road scene classification and semantic segmentation, which are the two crucial tasks for advanced driver assistance systems (ADAS), is proposed. We name the network TSS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99a274d1bc58a4afcc55f9d54de61f30
https://doi.org/10.1109/imcom51814.2021.9377401
https://doi.org/10.1109/imcom51814.2021.9377401
Publikováno v:
2020 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia).
In this paper, we present a conceptually simple, flexible, and general classifier for road scene multi-label classification. This method, called a combined classifier, enhances the main multi-label classifier with the single-label classifiers using a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2cf4fd40638fb2e614e94ec151bb24c9
https://doi.org/10.1109/icce-asia49877.2020.9276981
https://doi.org/10.1109/icce-asia49877.2020.9276981
Publikováno v:
2016 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia).
Autonomous driving cars have become a trend in the vehicle industry. Numerous driver assistance systems (DAS) have been introduced to support these automatic cars. Among these DAS methods, traffic light detection (TLD) plays a significant role. This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a87c0242a8acf7b6f59046910ff1ae4
https://doi.org/10.1109/icce-asia.2016.7804791
https://doi.org/10.1109/icce-asia.2016.7804791
Publikováno v:
2016 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia).
In this paper, we present a near real time approach to lane detection in highway and urban streets using images captured from monocular cameras as an input. The proposed method includes four main steps. First, the input image is transformed to a bird
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a62964256dc4b5d469f8c8f597353528
https://doi.org/10.1109/icce-asia.2016.7804748
https://doi.org/10.1109/icce-asia.2016.7804748
Publikováno v:
2013 Third World Congress on Information and Communication Technologies (WICT 2013).
Vehicles detection and classification are the most popular subjects in the computer vision researching field, and also are the most important parts in any traffic monitoring or surveillance system. Although there has been a considerable amount of ide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e839cf507e95083d7ee7f0fa3ee8dca9
https://doi.org/10.1109/wict.2013.7113153
https://doi.org/10.1109/wict.2013.7113153