Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Yazhe Hu"'
Autor:
Yazhe Hu, Tomonari Furukawa
Publikováno v:
International Journal of Automotive Engineering, Vol 9, Iss 4, Pp 323-331 (2018)
This paper presents a technique of automatic 3D pavement defects detection using both the two-dimensional (2D) and three-dimensional (3D) information from the images captured at high speed. Scaled 3D points reconstructed from Structure from Motion al
Externí odkaz:
https://doaj.org/article/ab725380fa2049ee9817e5cd55958c39
Autor:
Yazhe Hu, Tomonari Furukawa
Publikováno v:
Sensors, Vol 20, Iss 6, p 1640 (2020)
This paper presents a technique to reconstruct a three-dimensional (3D) road surface from two overlapped images for road defects detection using a downward-facing camera. Since some road defects, such as potholes, are characterized by 3D geometry, th
Externí odkaz:
https://doaj.org/article/ec712b6114af4dbc823bb81d357622a9
Autor:
YAZHE HU1, GEERTS, BART1 geerts@uwyo.edu, MIN DENG1, GRASMICK, COLTIN1, YONGGANG WANG2, LACKNER, CHRISTIAN PHILIPP1, YISHI HU3, LEBO, ZACHARY J.3, DAMAO ZHANG4
Publikováno v:
Journal of the Atmospheric Sciences. May2023, Vol. 80 Issue 5, p1285-1306. 22p.
Publikováno v:
Journal of the Atmospheric Sciences. 80:1307-1327
Part I of this series presented a detailed overview of postfrontal mixed-phase clouds observed during the Measurements of Aerosols, Radiation, and Clouds over the Southern Ocean (MARCUS) field campaign. In Part II, we focus on a multiday (23–26 Feb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99572af899a4350947ee9cfa7484f213
https://doi.org/10.1175/jas-d-21-0272.1
https://doi.org/10.1175/jas-d-21-0272.1
Publikováno v:
Experimental and Therapeutic Medicine
Diabete mellitus (DM) is becoming a global health problem. Whilst many studies have previously focused on the therapeutic effects of exercise on diabetes, insufficient data exist on its effectiveness on disease prevention. The present study was desig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b4e0bff3e8c8b0eaf080a2d45d42ebd
http://europepmc.org/articles/PMC8383327
http://europepmc.org/articles/PMC8383327
Autor:
Tomonari Furukawa, Yazhe Hu
Publikováno v:
SAE International Journal of Passenger Cars - Electronic and Electrical Systems. 10:301-309
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5143b4d04b77053b7b11841fd54f4f86
https://doi.org/10.4271/2017-01-0082
https://doi.org/10.4271/2017-01-0082
Autor:
Yazhe Hu, Tomonari Furukawa
Publikováno v:
Volume 3: 21st International Conference on Advanced Vehicle Technologies; 16th International Conference on Design Education.
This paper presents a self-supervised learning technique for road surface defects detection using a monocular camera. The uniqueness of the proposed technique relies on its self-supervised learning structure which is achieved by combining physics-dri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70c68a67052034947add2ea067b1e8a2
https://doi.org/10.1115/detc2019-98135
https://doi.org/10.1115/detc2019-98135
Publikováno v:
VTC-Fall
This paper presents a technique for localizing road surface images acquired by a downward-facing monocular camera on a vehicle with sparse low-accuracy Global Positioning System (GPS) readings. Images are collected by reading vehicle speed through on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d61ce0e5c5c7c84df3c2f53be6cf2421
https://doi.org/10.1109/vtcfall.2018.8690794
https://doi.org/10.1109/vtcfall.2018.8690794
Publikováno v:
Journal of Wuhan University of Technology-Mater. Sci. Ed.. 29:1313-1316
Lactic acid is usually formed during strenuous exercise, and a large amount of lactic acid and slow anaerobic glycolysis in muscle lead to limitations of movement ability. Hydroxyapatite (HAp) is an alkaline inorganic material with a good biocompatib
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e37ecf511018e733d7779d0ff364fcff
https://doi.org/10.1007/s11595-014-1087-0
https://doi.org/10.1007/s11595-014-1087-0
Publikováno v:
Remote Sensing, Vol 15, Iss 23, p 5575 (2023)
A significant challenge in detecting objects in complex remote sensing (RS) datasets is from small objects. Existing detection methods achieve much lower accuracy on small objects than medium and large ones. These methods suffer from limited feature
Externí odkaz:
https://doaj.org/article/297e876a43254d7cb891b44b306e4be0