Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Yongkun Wen"'
Publikováno v:
Sensors, Vol 23, Iss 6, p 3296 (2023)
High-precision maps are widely applied in intelligent-driving vehicles for localization and planning tasks. The vision sensor, especially monocular cameras, has become favoured in mapping approaches due to its high flexibility and low cost. However,
Externí odkaz:
https://doaj.org/article/07e91ae954624339862646455f48a6c7
Publikováno v:
Sensors, Vol 20, Iss 13, p 3737 (2020)
We propose a completely unsupervised approach to simultaneously estimate scene depth, ego-pose, ground segmentation and ground normal vector from only monocular RGB video sequences. In our approach, estimation for different scene structures can mutua
Externí odkaz:
https://doaj.org/article/a1db9a45186d463d91df6ccafe4dc7e9
Publikováno v:
2021 5th CAA International Conference on Vehicular Control and Intelligence (CVCI).
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 13
Sensors, Vol 20, Iss 3737, p 3737 (2020)
Sensors
Volume 20
Issue 13
Sensors, Vol 20, Iss 3737, p 3737 (2020)
We propose a completely unsupervised approach to simultaneously estimate scene depth, ego-pose, ground segmentation and ground normal vector from only monocular RGB video sequences. In our approach, estimation for different scene structures can mutua
Publikováno v:
Sensors (14248220). Mar2023, Vol. 23 Issue 6, p3296. 21p.
Publikováno v:
Computational Intelligence & Neuroscience. 12/22/2022, p1-11. 11p.
Autor:
Xiong, Lu1 (AUTHOR) xiong_lu@tongji.edu.cn, Wen, Yongkun1 (AUTHOR), Huang, Yuyao1 (AUTHOR), Zhao, Junqiao1 (AUTHOR), Tian, Wei1 (AUTHOR) tian_wei@tongji.edu.cn
Publikováno v:
Sensors (14248220). Jul2020, Vol. 20 Issue 13, p3737-3737. 1p.