Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Dong, Shuzhou"'
Autor:
Wan, Jixiang, Zhang, Xudong, Dong, Shuzhou, Zhang, Yuwei, Yang, Yuchen, Wu, Ruoxi, Jiang, Ye, Li, Jijunnan, Lin, Jinquan, Yang, Ming
Accurate and robust localization remains a significant challenge for autonomous vehicles. The cost of sensors and limitations in local computational efficiency make it difficult to scale to large commercial applications. Traditional vision-based appr
Externí odkaz:
http://arxiv.org/abs/2406.03835
Autor:
Zhang, Xudong, Gao, Shuang, Nan, Xiaohu, Ning, Haikuan, Yang, Yuchen, Ping, Yishan, Wan, Jixiang, Dong, Shuzhou, Li, Jijunnan, Guo, Yandong
Camera localization is a classical computer vision task that serves various Artificial Intelligence and Robotics applications. With the rapid developments of Deep Neural Networks (DNNs), end-to-end visual localization methods are prosperous in recent
Externí odkaz:
http://arxiv.org/abs/2304.05571
Autor:
Gao, Shuang, Wan, Jixiang, Ping, Yishan, Zhang, Xudong, Dong, Shuzhou, Yang, Yuchen, Ning, Haikuan, Li, Jijunnan, Guo, Yandong
High-precision camera re-localization technology in a pre-established 3D environment map is the basis for many tasks, such as Augmented Reality, Robotics and Autonomous Driving. The point-based visual re-localization approaches are well-developed in
Externí odkaz:
http://arxiv.org/abs/2110.03940
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 81:012070
Spatial-temporal distribution characteristics of PM2.5 concentrations in Nanjing is explored based on the PM2.5 data obtained by 9 automatic air quality monitoring stations in the city during 2012-2016.The results show that: 1)PM2.5 concentrations we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04a2ef9e19bdbd15d9d6e33266bd4ea4
https://doi.org/10.1088/1755-1315/81/1/012070
https://doi.org/10.1088/1755-1315/81/1/012070
Publikováno v:
IOP Conference Series: Earth & Environmental Science; Aug2017, Vol. 81 Issue 1, p1-1, 1p