Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Nenghui Song"'
Publikováno v:
CVPR Workshops
With the fast advancements of AICity and omnipresent street cameras, smart transportation can benefit greatly from actionable insights derived from video analytics. We participate the NVIDIA AICity Challenge 2018 in all three tracks of challenges. In
Publikováno v:
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Web of Science
Web of Science
Smart transportation based on big data traffic analysis is an important component of smart city. With millions of ubiquitous street cameras and intelligent analytic algorithms, public transit systems of the next generation can be safer and smarter. W
Autor:
Yingbin Zheng, Tao Hu, Guang Han, Sitapa Rujikietgumjorn, Liang Wang, Longyin Wen, Yongzhen Huang, Yi Wei, Kannappan Palaniappan, Tatiana Khanova, Hong Wang, Martin Lauer, Fabio Galasso, Koray Ozcan, Xiaoyi Yu, Yao Lu, Wei Tian, Thomas Sikora, Dmitriy Anisimov, Filiz Bunyak, Pierluigi Carcagnì, Erik Bochinski, Li Wang, Xiangyang Xue, Lipeng Ke, Yuezun Li, Marco Del Coco, Nattachai Watcharapinchai, Sikandar Amin, Nenghui Song, Noor M. Al-Shakarji, Hao Ye, Volker Eiselein, Tino Kutschbach, Shuo Wang, Yuqi Zhang, Dawei Du, Ming-Ching Chang, Siwei Lyu, Honggang Qi
Publikováno v:
AVSS
The rapid advances of transportation infrastructure have led to a dramatic increase in the demand for smart systems capable of monitoring traffic and street safety. Fundamental to these applications are a community-based evaluation platform and bench
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f3607721dbdd77e70403d7adbfdd0e5
http://hdl.handle.net/11573/1317829
http://hdl.handle.net/11573/1317829