Zobrazeno 1 - 4
of 4
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).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04f20b37fddd9c3bf455f738e6b6a438
https://doi.org/10.1109/cvci54083.2021.9661171
https://doi.org/10.1109/cvci54083.2021.9661171
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d901b2b7b6ab9e3d0d6baa1dd7407e4f
https://pubmed.ncbi.nlm.nih.gov/32635370
https://pubmed.ncbi.nlm.nih.gov/32635370