Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Quang Thi Nguyen"'
Autor:
Van-Toan Dinh, Steven Harder, Bor-Shouh Huang, Viet-Bac Trinh, Van-Tuyen Doan, Hop-Phong Lai, Anh-Vu Tran, Hong Quang-Thi Nguyen, Van-Duong Nguyen
Publikováno v:
Terrestrial, Atmospheric and Oceanic Sciences, Vol 29, Iss 4, Pp 371-386 (2018)
Multiple geophysical datasets from northern Vietnam were examined and reanalyzed to explore detailed structures within the deep crust and their relationship to major tectonic fault systems in this region. Deep seismic data using explosions were colle
Externí odkaz:
https://doaj.org/article/469b94d54f6c4e6caf7cf8bb0a2b0ae7
Publikováno v:
2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM).
Publikováno v:
IMCOM
Visual Odometry (VO) plays an important role in autonomous navigation systems for vehicle localization. For traditional stereo visual odometry (SVO), we can estimate the rotation and translation of camera motion either simultaneously or separately wh
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030630829
INISCOM
INISCOM
Visual Odometry is widely used for recovering the trajectory of a vehicle in an autonomous navigation system. In this paper, we present an adaptive stereo visual odometry that separately estimates the rotation and translation. The basic framework of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0dc4856870be07c8937ccfa421339cc8
https://doi.org/10.1007/978-3-030-63083-6_10
https://doi.org/10.1007/978-3-030-63083-6_10
Publikováno v:
International Journal of Signal Processing, Image Processing and Pattern Recognition. 7:257-274
Publikováno v:
International Journal of Signal Processing, Image Processing and Pattern Recognition. 7:85-98
Blurry images are the bane of many photographers. Although sometimes these images could be retaken in the hope that the next exposure will not be blurred, but frequently they are of some unique event that could only be captured once. The most common