Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Samyeul Noh"'
Autor:
Samyeul Noh, Kyounghwan An
Publikováno v:
Journal of Computational Design and Engineering. 9:1680-1698
Urban autonomous driving is both complex and dangerous. A multitude of road types, road users, and potential traffic rule violations all make it challenging for an autonomous vehicle to safely navigate an urban environment. To tackle this issue, in t
Autor:
Samyeul Noh
Publikováno v:
IEEE Transactions on Industrial Electronics. 66:3275-3286
In this paper, we propose a decision-making framework for autonomous driving at road intersections that determines appropriate maneuvers for an autonomous vehicle to navigate an intersection safely and efficiently (regarding making progress ), even i
Publikováno v:
ICTC
Developing an autonomous indoor mobile robot navigation system from scratch is very difficult and it takes a long time. It requires a series of complex tasks such as handling given sensor inputs, calculating all the information needed for autonomous
Publikováno v:
ICTC
Today, a paradigm in the manufacturing industry has been shifted from mass production to small and custom production. To adapt to today’s industrial expectations, this paper presents position-based visual servoing of multiple robotic manipulators.
Autor:
Samyeul Noh, Jun-Hee Park
Publikováno v:
2020 20th International Conference on Control, Automation and Systems (ICCAS).
This paper proposes a system design for automation in multi-agent-based manufacturing systems to conduct a given complex task automatically by controlling multiple robotic manipulators in a systematic manner. To this end, the proposed system is desig
Autor:
Samyeul Noh, Kyounghwan An
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 19:58-71
This paper presents a decision-making framework for automated driving in highway environments. The framework is capable of reliably, robustly assessing a given highway situation (with respect to the possibility of collision) and of automatically dete
Autor:
Samyeul Noh, Jiyoung Park
Publikováno v:
2019 19th International Conference on Control, Automation and Systems (ICCAS).
Many interaction systems for at-home workouts have had much difficulty in mobility due to the fixed location of a vision sensor. In this paper, we present the utilization of a mobile robot that navigates autonomously to improve an interaction system'
Publikováno v:
ICTC
In this paper, we present an intelligent interaction system capable of autonomous mobility for at-home workouts. Whereas the current interaction systems for at-home workouts have had much difficulty in mobility, the presented system is able not only
Autor:
Samyeul Noh
Publikováno v:
IROS
In this paper, we propose a probabilistic collision threat assessment algorithm for autonomous driving at road intersections that assesses a given traffic situation at an intersection reliably and robustly for an autonomous vehicle to cross the inter
Autor:
Samyeul Noh
Publikováno v:
ICTC
In this paper, we present a probabilistic collision threat assessment algorithm for autonomous driving at unsignalized T-junctions that assesses a given traffic situation at an unsignalized T-junction reliably and robustly for an autonomous vehicle t