Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Seo Yeon Hwang"'
Autor:
Won-Hee Cho, Seo Yeon Hwang, Sun Ryoung Choi, Biro Kim, Joune Seoup Lee, Dong Gun Lee, Hyun Soon Lee
Publikováno v:
Case Reports in Nephrology and Dialysis, Vol 13, Iss 1, Pp 173-183 (2023)
Anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) is a complex systemic autoimmune disease characterized by small vessel vasculitis. Typically, the relapse rate is lower in patients with end-stage kidney disease (ESKD) than in t
Externí odkaz:
https://doaj.org/article/3ca9179e5547494db9081111cd76333a
Publikováno v:
Frontiers in Microbiology, Vol 10 (2019)
Externí odkaz:
https://doaj.org/article/400ec7c08b454ecb8c6de2da9f2ab996
Publikováno v:
Frontiers in Microbiology, Vol 9 (2018)
Outer membrane vesicles (OMVs) are spherical membranous structures released by Gram-negative bacteria. Several bacterial pathogens utilize OMVs as vehicles for the delivery of virulence factors into host cells. Results of our previous study on proteo
Externí odkaz:
https://doaj.org/article/00e5d342408143c79ca0ce9ef7eccec1
Autor:
Seo-Yeon Hwang, Kim, Jeong-Ryeol
Publikováno v:
Korean Association For Learner-Centered Curriculum And Instruction. 20:611-634
Autor:
Kim, Jeong-Ryeol, Seo-Yeon Hwang
Publikováno v:
Korean Association For Learner-Centered Curriculum And Instruction. 19:95-120
Autor:
Jae-Bok Song, Seo Yeon Hwang
Publikováno v:
Advanced Robotics. 27:739-747
This paper presents improved extraction and matching methods for arbitrarily shaped (AS) ceiling features for monocular vision-based simultaneous localization and mapping. The feature descriptor, which is robust to illumination changes, comprises the
Autor:
Jae-Bok Song, Seo-Yeon Hwang
Publikováno v:
IEEE Transactions on Industrial Electronics. 58:4804-4812
We examine monocular vision-based simultaneous localization and mapping (SLAM) of a mobile robot using an upward-looking camera. Although a monocular camera looking up toward the ceiling can provide a low-cost solution to indoor SLAM, this approach i
Autor:
Jae-Bok Song, Seo Yeon Hwang
Publikováno v:
Journal of Institute of Control, Robotics and Systems. 17:164-170
This paper proposes a novel monocular vision-based SLAM (Simultaneous Localization and Mapping) method using both position and orientation information of ceiling lamps. Conventional approaches used corner or line features as landmarks in their SLAM a
Publikováno v:
IFAC Proceedings Volumes. 44:8165-8170
This paper proposes a novel scheme of extracting the features in the ceiling using an upward-looking camera for SLAM in indoor environments. The conventional approaches based on corner or line features have difficulties in associating adjacent indist
Autor:
Jae-Bok Song, Seo-Yeon Hwang
Publikováno v:
ICRA
This study presents an upward-looking camera-based global localization scheme using the position and orientation of ceiling features. If the robot pose is unknown, the region-based ceiling features from the current image are matched to a pre-built fe