Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Junghyun Oh"'
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 21 (2024)
Since performing simultaneous localization and mapping in dynamic environments is a challenging problem, conventional approaches have used preprocessing to detect and then remove movable objects from images. However, those methods create many holes i
Externí odkaz:
https://doaj.org/article/7873b070fa89475596faf3239ba39b8d
Publikováno v:
Advanced Intelligent Systems, Vol 6, Iss 7, Pp n/a-n/a (2024)
This article presents a novel approach for generating a three‐dimensional radiation map using data collected by mobile robots, aimed at monitoring radiation distribution in environments such as nuclear power plants. The proposed approach leverages
Externí odkaz:
https://doaj.org/article/228478b93cd94e2893ff0e0da22a97e8
Publikováno v:
Agriculture, Vol 14, Iss 10, p 1792 (2024)
The objective of the present research was to determine the nutrient utilization of full-fat black soldier fly larvae (Hermetia illucens; BSFL), which were processed by various drying methods, using in vitro procedures for pigs. Four sources of BSFL w
Externí odkaz:
https://doaj.org/article/2f667d189f6b437d8760e3d5292cd3fa
Autor:
Hyeongjun Jeon, Junghyun Oh
Publikováno v:
IEEE Access, Vol 11, Pp 47202-47211 (2023)
Estimating visual odometry in dynamic environments is a challenging problem, as features of moving objects prevent accurate image matching. Typical approach to deal with dynamic environments is to remove features of moving objects. However, this resu
Externí odkaz:
https://doaj.org/article/fab39a0c23834962a104eff95c158a0c
Publikováno v:
Remote Sensing, Vol 14, Iss 23, p 6106 (2022)
For the logistics environment, multi-UAV algorithms have been studied for the purpose of order picking in warehouses. However, modern order picking adopts static order picking methods that struggle to cope with increasing volumes of goods because the
Externí odkaz:
https://doaj.org/article/2de5dab2ef784fce9b324510b3e34113
Publikováno v:
Journal of Institute of Control, Robotics and Systems. 29:320-324
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7ac1e36fc3ca951266fa19541d5ef44
https://doi.org/10.5302/j.icros.2023.22.8010
https://doi.org/10.5302/j.icros.2023.22.8010
Publikováno v:
Journal of Korea Robotics Society. 18:66-71
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30f121511326937df0ef87b105457e67
https://doi.org/10.7746/jkros.2023.18.1.066
https://doi.org/10.7746/jkros.2023.18.1.066
Publikováno v:
Energies, Vol 15, Iss 1, p 290 (2022)
In this paper, a power system restoration study following a massive or complete blackout was performed. The power system restoration process from a complete shutdown system without the operating generation and load starts with energizing primary rest
Externí odkaz:
https://doaj.org/article/198dc5fb7ad04589a538d1693371199f
Publikováno v:
Applied Sciences, Vol 11, Iss 19, p 9233 (2021)
As modern power systems become large and complicated, an automated voltage and reactive power control system is required in most developed countries due to the remarkable recent progress in computer networks and information technology. To date, volta
Externí odkaz:
https://doaj.org/article/cb8aa17f8e944feb8266df7ba1c87189
Variational Bayesian Approach to Condition-Invariant Feature Extraction for Visual Place Recognition
Autor:
Junghyun Oh, Gyuho Eoh
Publikováno v:
Applied Sciences, Vol 11, Iss 19, p 8976 (2021)
As mobile robots perform long-term operations in large-scale environments, coping with perceptual changes becomes an important issue recently. This paper introduces a stochastic variational inference and learning architecture that can extract conditi
Externí odkaz:
https://doaj.org/article/b83eddc0ead44d06b1e6bcacccf3069f