Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Baigan Zhao"'
Publikováno v:
Sensors, Vol 23, Iss 11, p 5329 (2023)
This paper presents a novel unsupervised learning framework for estimating scene depth and camera pose from video sequences, fundamental to many high-level tasks such as 3D reconstruction, visual navigation, and augmented reality. Although existing u
Externí odkaz:
https://doaj.org/article/3a2976aa8a934524b95b2b28f20dd3f6
Publikováno v:
Sensors, Vol 22, Iss 4, p 1383 (2022)
This paper proposes a novel unsupervised learning framework for depth recovery and camera ego-motion estimation from monocular video. The framework exploits the optical flow (OF) property to jointly train the depth and the ego-motion models. Unlike t
Externí odkaz:
https://doaj.org/article/87ca35686baf40349a9916a4ec57a05f
Publikováno v:
Remote Sensing, Vol 13, Iss 9, p 1828 (2021)
Motion estimation is crucial to predict where other traffic participants will be at a certain period of time, and accordingly plan the route of the ego-vehicle. This paper presents a novel approach to estimate the motion state by using region-level i
Externí odkaz:
https://doaj.org/article/752cac69b5594b0a999eb572f9985a2d
Publikováno v:
Sensors; Volume 23; Issue 11; Pages: 5329
This paper presents a novel unsupervised learning framework for estimating scene depth and camera pose from video sequences, fundamental to many high-level tasks such as 3D reconstruction, visual navigation, and augmented reality. Although existing u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::be2b5e8a1f4153cb92ca70eec221ab98
Publikováno v:
IEEE Sensors Journal. 21:21730-21739
Lane detection is a challenging task due to problems like the diversity of lanes, occlusion, dazzle light, and so on. We believe that two factors are helpful to solve the above problems and therefore improve detection performance, including global co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e681c5c6917414a725a687f35547724
https://doi.org/10.1109/jsen.2021.3100489
https://doi.org/10.1109/jsen.2021.3100489
Publikováno v:
ICRA
Addressing on monocular visual odometry problem, this paper presents a novel end-to-end network for estimation of camera ego-motion. The network learns the latent space of optical flow (OF) and models sequential dynamics so that the motion estimation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4eda047922ddef04b692ee6a09f67a69
https://doi.org/10.1109/icra48506.2021.9562074
https://doi.org/10.1109/icra48506.2021.9562074
Publikováno v:
Remote Sensing; Volume 13; Issue 9; Pages: 1828
Remote Sensing, Vol 13, Iss 1828, p 1828 (2021)
Remote Sensing, Vol 13, Iss 1828, p 1828 (2021)
Motion estimation is crucial to predict where other traffic participants will be at a certain period of time, and accordingly plan the route of the ego-vehicle. This paper presents a novel approach to estimate the motion state by using region-level i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42152d09fae3e142e2fe286af199ecff
Publikováno v:
Electronics, Vol 10, Iss 471, p 471 (2021)
As a prerequisite for autonomous driving, scene understanding has attracted extensive research. With the rise of the convolutional neural network (CNN)-based deep learning technique, research on scene understanding has achieved significant progress.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38df922da0cdf6d6a0f067b6ac5651a7
https://doi.org/10.3390/electronics10040471
https://doi.org/10.3390/electronics10040471
Publikováno v:
Electronics
Volume 10
Issue 3
Electronics, Vol 10, Iss 222, p 222 (2021)
Volume 10
Issue 3
Electronics, Vol 10, Iss 222, p 222 (2021)
Visual odometry (VO) refers to incremental estimation of the motion state of an agent (e.g., vehicle and robot) by using image information, and is a key component of modern localization and navigation systems. Addressing the monocular VO problem, thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cd4dd2110d4b5b07ef7141c525f6a0c
https://doi.org/10.3390/electronics10030222
https://doi.org/10.3390/electronics10030222
Publikováno v:
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi. 33(4)
Medical nitric oxide(NO)flow control system plays an important role in lowering pulmonary hypertension.The design requirements,overall scheme,delivery system and hardware circuits of a medical NO flow control system were introduced in this paper.Part
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::ee421962e20c299d0d79961151fc67a8
https://pubmed.ncbi.nlm.nih.gov/29714919
https://pubmed.ncbi.nlm.nih.gov/29714919