Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Jinyong Jeong"'
Autor:
Jung In Kim, Young Jae Lee, Jongkook Heo, Jinhyeok Park, Jaehoon Kim, Sae Rin Lim, Jinyong Jeong, Seoung Bum Kim
Publikováno v:
PLoS ONE, Vol 18, Iss 9, p e0291545 (2023)
Deep reinforcement learning (DRL) is a powerful approach that combines reinforcement learning (RL) and deep learning to address complex decision-making problems in high-dimensional environments. Although DRL has been remarkably successful, its low sa
Externí odkaz:
https://doaj.org/article/5555aee3bfff4f57b641045fb0070cb6
Publikováno v:
Sensors, Vol 16, Iss 8, p 1315 (2016)
This paper presents accurate urban map generation using digital map-based Simultaneous Localization and Mapping (SLAM). Throughout this work, our main objective is generating a 3D and lane map aiming for sub-meter accuracy. In conventional mapping ap
Externí odkaz:
https://doaj.org/article/b9f783ce9bed4dddb4ed6a0a9c664f84
Autor:
Jinyong Jeong
Publikováno v:
Review of Economic Design. 25:139-156
I model a teacher transfer program in South Korea as a matching-with-contracts problem. The current (non-centralized) system allows a teacher wishing to make an inter-state transfer to submit, at most, one application and will approve only a one-to-o
Publikováno v:
IEEE Robotics and Automation Letters. 5:6310-6317
In this letter, we propose a method for accurately estimating the 6-Degree Of Freedom (DOF) pose in an urban environment when a High Definition (HD) map is available. An HD map expresses 3D geometric data with semantic information in a compressed for
Publikováno v:
IEEE Robotics and Automation Letters. 4:2831-2838
This letter presents a framework for the target-less extrinsic calibration of stereo cameras and light detection and ranging (LiDAR) sensors with a non-overlapping field of view (FOV). In order to solve extrinsic calibration problems under such chall
Publikováno v:
The International Journal of Robotics Research. 38:642-657
The high diversity of urban environments, at both the inter and intra levels, poses challenges for robotics research. Such challenges include discrepancies in urban features between cities and the deterioration of sensor measurements within a city. W
Publikováno v:
International Symposium for Testing and Failure Analysis.
Static Random Access Memory (SRAM) has long been used for a new technology development vehicle because it is sensitive to process defects due to its high density and minimum feature size. In addition, failure location can be accurately predicted beca
Publikováno v:
ICRA
This paper introduces a multimodal range dataset namely for radio detection and ranging (radar) and light detection and ranging (LiDAR) specifically targeting the urban environment. By extending our workshop paper [1] to a larger scale, this dataset
Publikováno v:
IEEE Robotics and Automation Letters. 2:2232-2239
This letter presents an effective solution for 3D urban map generation using aerial images as prior information for Simultaneous Localization and Mapping (SLAM). The research targets urban canyons where Global Positioning System (GPS) signals are hig
Autor:
Jihong Park, Hee-Won Jung, Jinyong Jeong, Jack M. Guralnik, Jae Young Lim, Young-Sik Shin, Hyun Chul Roh, Younggun Cho
Publikováno v:
Journal of the American Geriatrics SocietyREFERENCES. 67(12)
OBJECTIVES We aimed to validate a multi-sensor-based kiosk (automatically measured Short Physical Performance Battery [eSPPB] kiosk) that can perform automated measurement of the SPPB. DESIGN Prospective, cross-sectional study. SETTING Rehabilitation