Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Chuho Yi"'
Autor:
Chuho Yi, Jungwon Cho
Publikováno v:
International Journal on Advanced Science, Engineering & Information Technology; 2024, Vol. 14 Issue 5, p1528-1533, 6p
Autor:
Chuho Yi, Jungwon Cho
Publikováno v:
JOIV: International Journal on Informatics Visualization, Vol 5, Iss 3, Pp 206-211 (2021)
Estimating a road surface or planes for applying AR(Augmented Reality) or an autonomous vehicle using a camera requires significant computation. Vision sensors have lower accuracy in distance measurement than other types of sensor, and have the diffi
Externí odkaz:
https://doaj.org/article/08e35043b1a34685811b7fcab59af3ba
Autor:
Chuho Yi, Jungwon Cho
Publikováno v:
International Journal on Advanced Science, Engineering & Information Technology; 2023, Vol. 13 Issue 4, p1561-1565, 5p
Autor:
Chuho Yi, Jungwon Cho
Publikováno v:
Personal and Ubiquitous Computing. 27:1055-1064
With the advent of deep neural networks (DNNs) in the last two decades, tremendous developments have been made in many fields, such as image classification/recognition, voice recognition, and action recognition. These advanced DNNs require large amou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::298ff1ce4d116e3fc8ff71d37eef90ad
https://doi.org/10.1007/s00779-020-01448-6
https://doi.org/10.1007/s00779-020-01448-6
Autor:
Chuho Yi, Jungwon Cho
Publikováno v:
Multimedia Tools and Applications. 80:34697-34712
Generative adversarial networks (GANs) are used to improve pedestrian identification performance and reduce labelling work, which is a significant burden on deep learning applications. As the input data are images, a deep convolutional generative adv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e55fb89a039aebd3ed345e29205283b0
https://doi.org/10.1007/s11042-019-08545-6
https://doi.org/10.1007/s11042-019-08545-6
Autor:
Chuho Yi, Jungwon Cho
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 11 (2015)
With the coming of “Internet of things” (IoT) technology, many studies have sought to apply IoT to mobile platforms, such as smartphones, robots, and moving vehicles. An estimation of ego-motion in a moving platform is an essential and important
Externí odkaz:
https://doaj.org/article/e91f57abd3814d24a51187e42d56fa9e
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 10 (2014)
An autonomous robot in an outdoor environment needs to recognize the surrounding environment to move to a desired location safely; that is, a map is needed to classify/perceive the terrain. This paper proposes a method that enables a robot to classif
Externí odkaz:
https://doaj.org/article/cd6e2c89758e4d86a56d619aad1ed128
Publikováno v:
Wireless Personal Communications. 105:509-524
We have developed a human-navigation-inspired and semantic map-building for communication between human and wireless robots. Four human navigation strategies (dead reckoning, egocentric place recognition, and reorientation) are integrated in our prop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf7ddd100aad3f34551b93f407a8823e
https://doi.org/10.1007/s11277-018-5949-1
https://doi.org/10.1007/s11277-018-5949-1
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 8 (2011)
To realize autonomous navigation of intelligent robots in a variety of settings, analysis and classification of places, and the ability to actively collect information are necessary. In this paper, visual data are organized into an orientation histog
Externí odkaz:
https://doaj.org/article/ccf84e17d735417f8ec6ea3be26011a2
Autor:
Jungwon Cho, Chuho Yi
Publikováno v:
JOIV : International Journal on Informatics Visualization. 5:206
Estimating a road surface or planes for applying AR(Augmented Reality) or an autonomous vehicle using a camera requires significant computation. Vision sensors have lower accuracy in distance measurement than other types of sensor, and have the diffi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb5f9f5602faaf984d07be2513fe9cb2
https://doi.org/10.30630/joiv.5.3.641
https://doi.org/10.30630/joiv.5.3.641