• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2005.10a
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• pp.255-261
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• 2005

The purpose of this paper is to analyze transport ability of Automated Guided Vehicle(AGV) and Double Stack Vehicle(DSV) at Automated Container Terminal(ACT). Usually, the main difference of AGV and DSV is capacity of container that they can transport between apron and yard block at once. AGV can carry out two 20 feet or one 40 feet maritime containers, but DSV can carry out four 20 feet or two 40 feet maritime containers. Therefore, DSV may improve more efficiency of stevedoring system of container terminal. In this paper, a simulation model using a graphics simulation system is developed to compare the proposed DSV with the current AGV at automated container terminal. The paper includes examples, performance tests and a discussion of simulation results.

• KIPS Transactions on Computer and Communication Systems
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• v.2 no.10
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• pp.427-436
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• 2013

In this paper, a method of moving path control of an automatic guided vehicle in an indoor environment through recognition of marker images using vision sensors is presented. The existing AGV moving control system using infrared-ray sensors and landmarks have faced at two critical problems. Since there are many windows in a crematorium, they are going to let in too much sunlight in the main hall which is the moving area of AGVs. Sunlight affects the correct recognition of landmarks due to refraction and/or reflection of sunlight. The second one is that a crematorium has a narrow indoor environment compared to typical industrial fields. Particularly when an AVG changes its direction to enter the designated furnace the information provided by guided sensors cannot be utilized to estimate its location because the rotating space is too narrow to get them. To resolve the occurrences of such circumstances that cannot access sensing data in a WSN environment, a relative distance from marker to an AGV will be used as fingerprinting used for location estimation. Compared to the existing fingerprinting method which uses RSS, our proposed method may result in a higher reliable estimation of location. Our experimental results show that the proposed method proves the correctness and applicability. In addition, our proposed approach will be applied to the AGV system in the crematorium so that it can transport a dead body safely from the loading place to its rightful destination.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.1059-1061
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• 2022

본 논문은 최근 울산항만에 물류 차량과 사람이 충돌하는 위험이 수반되어 특별 안전대책에 따라 사각지대 없는 안전관리 체계의 일원으로 차별화된 울산항만과 선박 사이의 스마트 안전 정류장 구축과 이를 연계한 인공지능 기반의 무인 자율 이송 트램을 구현하는 프로젝트이다. 플랫폼 기반의 하드웨어로 각종 사물에 센서와 통신 기능을 내장하여 인터넷에 연결하는 사물인터넷(IoT)와 안드로이드 기반의 앱으로 사물인터넷에서 측정된 정보를 제공하거나 스마트 정류장과 연계하여 안전하게 이동할 수 있도록 서비스를 제공하며 이를 위해서 사물인터넷(IoT)을 분석한 데이터 정보는 인공지능 기반의 무인 자율 이송 트램의 사고를 방지하기 위해 꼭 필요하다.

• Journal of Navigation and Port Research
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• v.38 no.5
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• pp.493-501
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• 2014

An automated lifting vehicle(ALV) used in an automated container terminal is a type of unmanned vehicle that can self-lift a container as well as self-transport it to a destination. To operate a fleet of ALVs efficiently, one needs to be able to determine a minimum-time route to a given destination whenever an ALV is to start its transport job. To find a route free from any collision or deadlock, the occupation time of the ALV on each segment of the route should be carefully scheduled to avoid any such hazard. However, it is not easy because not only the travel times of ALVs are uncertain due to traffic condition but also the operation times of cranes en route are not predicted precisely. In this paper, we propose a routing method based on an ant colony optimization algorithm that takes into account these uncertainties. The result of simulation experiment shows that the proposed method can effectively find good routes under uncertainty.

• Proceedings of the KAIS Fall Conference
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• 2011.05b
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• pp.818-820
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• 2011

본 논문에서는 도로 지하에 매설되어 있는 2m${\times}$2m 정도 규격의 박스형태 암거의 좁은 공간에서 원활하게 준설작업을 할 수 있는 준설시스템의 개발을 하고자 한다. 준설시스템의 작업과정은 지하에 매설된 암거의 내부를 �렵罹만� 원격 조정하여, 오염된 슬러지 준설 작업을 수행하는 준설기와 슬러지를 지상으로 반출하는 유압식 듀얼 이송스크류 슬러지 배출 차량 및 지상으로 반출된 슬러지의 수분을 제거하는 슬러지 탈수 처리 장치로 구성되어 있다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.229-231
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• 2018

As autonomous vehicle technology has been gradually developed, robots that have introduced autonomous navigation systems have been actively involved in areas where there is a lot of livelihoods such as industrial sites and accident sites. For this reason, the unmanned transportation system equipped with the autonomous traveling system is widely used in harmful environments where human access is difficult. In addition, the introduction of the autonomous driving system reduces the collision and casualties that occur in a mobility environment like the industrial field, and it helps the efficient work process. In addition, autonomous driving vehicles can be handled more safely and quickly in a wider area by transmitting the surrounding environment of each vehicle to a server connected to each autonomous driving vehicle and passing it through the main server. In this paper, by utilizing V2X communication for autonomous unmanned forklift system, it can increase industrial workload, reduce loss of life and damage to property through wide area forklifts.

• Journal of Institute of Control, Robotics and Systems
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• v.15 no.5
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• pp.473-479
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• 2009

This paper proposes an efficient method to locate the automated guided vehicle (AGV) into a specific parking position using artificial visual landmark and vision-based algorithm. The landmark has comer features and a HSI color arrangement for robustness against illuminant variation. The landmark is attached to left of a parking spot under a crane. For parking, an AGV detects the landmark with CCD camera fixed to the AGV using Harris comer detector and matching descriptors of the comer features. After detecting the landmark, the AGV tracks the landmark using pyramidal Lucas-Kanade feature tracker and a refinement process. Then, the AGV decreases its speed and aligns its longitudinal position with the center of the landmark. The experiments showed the AGV parked accurately at the parking spot with small standard deviation of error under bright illumination and dark illumination.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06b
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• pp.54-56
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• 2012

본 논문에서는 위치인식 센서기반 무인이송차량(AGV)의 이동 제어 문제를 다루고자 한다. AGV의 진행 경로를 지시하는 랜드마크를 부착할 때 사각지역(dead zone) 및 중첩 지역(overlap zone)이 존재할 경우 위치 추정 오차가 허용 범위를 크게 벗어나게 되며, 이로 인해 AGV가 오동작하는 현상이 발생한다. 이를 해결하기 위해 본 논문에서는 단일 랜드마크 대신 이웃한 2개의 랜드마크 인식을 통해 위치 추정 오차를 보정하는 방안을 제안하였다. 또한, 회전 구간에서 AGV가 방향 전환 직후 지정된 경로에 허용오차 범위 이내로 진입하도록 안쪽 바퀴와 바깥쪽 바퀴의 가속도 제어 알고리즘을 제안하였다. 본 논문에서 개발된 시스템은 화장장 시신 운구용 AGV에 적용하였다. 화장장은 기존 산업 현장에 비해 이동 공간이 협소할 뿐만 아니라 그 특성상 정밀 제어가 필요한 환경이다. 본 논문에서 제안한 방식은 모의 차량에 적용하여 그 타당성을 검증하였으며, 실제 국내 화장장에 AGV 시스템을 적용한 결과 허용오차 범위 이내에서 정상 동작함을 확인하였다.

• Journal of the Korea Society for Simulation
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• v.17 no.4
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• pp.29-39
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• 2008

Recently, an ALV (Automated Lifting Vehicle) is studied as an efficient transporter, which can reduce the waiting time during ship operation in a container terminal. There are little of studies on an ALV system considering dynamic factors after analysing the cooperation between equipments. The performance of an ALV depends on self-loading & unloading of an ALV, vehicle’s interference, and occupancy of an available transfer point under dynamic environment. So, it is very difficult to evaluate the productivity of a container terminal with an ALV system. Therefore the simulation model with operational rules that be apt for an ALV system must be developed. Also the model has to consider the characteristics of interface operations and vehicle traffic. Supposing an container terminal with perpendicular layout, this study analyses the process of container handling operation and proposes operational rules such as the ALV dispatching, routing algorithm and so on for a model. We developed a simulation model for a container terminal with an ALV system using object-oriented simulation software, Anylogic.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.8C
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• pp.721-730
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• 2012

In this paper the problem of a moving control of an automatic guided vehicle(AGV) which transports a dead body to a designated cinerator safely in a crematorium, an special indoor environment, will be discussed. Since a method of burying guided lines in the floor is not proper to such an environment, a method of moving control of an AGV based on infrared ray sensors is now proposed. With this approach, the AGV emits infrared ray to the landmarks adheres to the ceiling to find a moving direction and then moves that direction by recognizing them. One of the typical problems for this method is that dead zone and/or overlapping zone may exist when the landmarks are deployed. To resolve this problem, an algorithm of recognizing double landmarks at each time is applied to minimize occurrences of sensing error. In addition, at the turning area to entering the designated cinerator, to fit an AGV with the entrance of the designated cinerator, an algorithm of controlling the velocity of both the inner and outer wheel of it. The functional correctness of our proposed algorithm has been verified by using a prototype vehicle. Our real AGV system has been applied to a crematorium and it moves automatically within an allowable range of location error.