• Journal of Intelligence and Information Systems
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• v.28 no.2
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• pp.57-74
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• 2022

Recently, artificial intelligence parking control systems have increased the recognition rate of vehicle license plates using deep learning, but there is a problem that they cannot determine vehicles with fake license plates. Despite these security problems, several institutions have been using the existing system so far. For example, in an experiment using a counterfeit license plate, there are cases of successful entry into major government agencies. This paper proposes an improved system over the existing artificial intelligence parking control system to prevent vehicles with such fake license plates from entering. The proposed method is to use the degree of matching of the front feature points of the vehicle as a passing criterion using the ORB algorithm that extracts information on feature points characterized by an image, just as the existing system uses the matching of vehicle license plates as a passing criterion. In addition, a procedure for checking whether a vehicle exists inside was included in the proposed system to prevent the entry of the same type of vehicle with a fake license plate. As a result of the experiment, it showed the improved performance in identifying vehicles with fake license plates compared to the existing system. These results confirmed that the methods proposed in this paper could be applied to the existing parking control system while taking the flow of the original artificial intelligence parking control system to prevent vehicles with fake license plates from entering.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.3
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• pp.86-99
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• 2021

This research proposes the Accident Prevention System to prevent collision accident that can occur due to blind spots such as crossway or school zone using V2I communication. Vision sensor and LiDAR sensor located in the infrastructure of crossway somewhere like that recognize objects and warn vehicles at risk of accidents to prevent accidents in advance. Using deep learning-based YOLOv4 to recognize the object entering the intersection and using the Manhattan Distance value with LiDAR sensors to calculate the expected collision time and the weight of braking distance and secure safe distance. V2I communication used ROS (Robot Operating System) communication to prevent accidents in advance by conveying various information to the vehicle, including class, distance, and speed of entry objects, in addition to collision warning.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.18 no.12
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• pp.91-97
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• 2019

Since the 2000s, mechanical parking lots have become an increasingly common solution to serious parking difficulties in urban areas. While safety regulations are in place, they can avert or minimize accidents only when drivers understand and comply with them, and so do not always prevent drivers from making mistakes. As a result, the number of serious accidents caused by driver errors continues to increase in proportion to the rapid increase in vehicles. Most of these accidents are caused by abnormal vehicle entry, despite the safeguards already in place. Therefore, in this thesis, we will study the vehicle entry prevention system and suggest how it can be made more effective in stopping or minimizing accidents.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.1740-1741
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• 2015

본 논문에서는 최근에 잦아지는 교통사고를 방지하기 위해 현재 교통시스템의 문제점을 인식하여 개선하고, 기존 교통 시스템을 지능화시킴으로써 보행자 안전을 제공하고자 기술적인 면을 추가하여 지능적 교통안전 시스템을 설계한다. 기존의 신호등과 횡단보도 대신 보행자와 운전자를 통제하는 바리케이트를 설치하였으며, 바리케이트 앞면에는 LED의 점등 카운터를 통해 교통 시스템을 구축하였다. 또한 진입 차량 속도를 측정하여 측정 속도 이상 초과 시 차량을 통제하는 속도 감응형 개폐시스템을 도입하였다. 본 논문은 지능적 교통 시스템을 도입하여 보행자 및 운전자가 무의식 속에 유발시키는 사고를 방지하고자 보완하였다.

• Electronics and Telecommunications Trends
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• v.22 no.3 s.105
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• pp.1-11
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• 2007

USN 기반 텔레매틱스 서비스는 텔레매틱스 시장의 성숙, 유비쿼터스 사회에 대한 열망 및 u-City 사업의 가속화 등에 기인하여, 도로 교통 인프라에 USN 기술을 적용함으로써 대두하게 된 새로운 개념의 서비스이다. 본 고에서는 USN 기반 텔레매틱스 서비스 및 시장 동향, 해외사례, 관련 특허 및 국내기술개발 동향을 살펴보고자 한다. 현재 중점을 두는 구체적인 서비스는 도로 및 교차로 환경에서의 상황정보 제공 서비스로 도로 위에 설치된 T-센서노드를 이용하여 시간 및 방향에 따라 진입하는 차량의 실시간 위치, 속도, 시간 정보를 수집한 뒤 센서 네트워크를 통해 T-베이스스테이션으로 관련 정보를 전달하고 차량 충돌이라는 교통사고를 미연에 방지하기 위한 상황인지적 서비스를 제공하는 것이다. 이를 위한 핵심 기술로 T-센서노드 기술, 센서노드 네트워크 기술 및 T-베이스스테이션 기술이 있으며 중점적으로 개발하고 있다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.2 no.1 s.2
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• pp.53-62
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• 2003

This paper demonstrates the in-vehicle dilemma zone warning system (DZWS) project developed as a part of the Driver Advisory and Collision Warning System in Automated Vehicle and Highway System (AVHS). The DZWS project, one of the Korea national ITS projects in 2000 develops the in-vehicle warning device to support drivers' decision making on whether to stop or to proceed to clear the intersection prior to the onset of yellow signal for avoiding the high risk of collision at signalized intersections through the dedicated short range communication (DSRC). This paper explores the design of optimal communication systems between roadway and vehicles, the operational and functional concepts of dilemma zone warning system based on appropriate approach speeds, and the system integration for field test at two sites of signalized intersections. Findings from the system integration indicated that the system would be implemented in eliminating the dilemma zone relative to approach speeds and in reducing red light violations and intersection collisions through the in-vehicle warning device at signalized intersection.

• The Journal of the Korea institute of electronic communication sciences
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• v.5 no.6
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• pp.575-580
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• 2010

The research which sees the wild animals back with the system for the penetration prevention, when the wild animals approaches with the infrared ray sensor which composes a proposed system to use radiation department and the solar heat which occur and to make lead in the spiral which informs a guard to application of power department and back the edge where uses the battery of the application of power department which supplies all the member and the outside minute electric current to do in order to maximize a warning utterance or a luminous effect, an utterance department and the light for a prevention and about the system which restrains the wild animals is a thing. The proposed system which sees the express highway and the national road, with region degree establishes back the same wild animals appears and disappears frequently a day and night and between in circumference and goes without question appears and disappears the penetration of the wild animals which prevents and the animal the vehicle and prevents the damage which collides, joins in and driver and is the ecosystem of natural environment protects preserves.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.6
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• pp.59-68
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• 2022

We propose the vehicle maintenance support system to alarm consumable replacement reminders to the vehicle owner. Since the delayed replacement of the consumables makes the condition of the vehicle worse, it is crucial to replace consumables in a recommended period. The vehicle maintenance support system alarms the replacement time, which is set by the vehicle owner, based on the mileage of the installed vehicle. It integrates speed information acquired from the Controller Area Network interface for communication between Electronic Control Unit and instrument panel, exposed at the On Board Diagnostics-II port, to calculate the vehicle mileage. By this, there is no additional wiring required for the system. We verify the system has only 0.28% error by comparing the mileage on the system with the instrument cluster on the vehicle. It automatically enters low-power mode consuming 15mW, which is a negligible amount for the typical conditions of the car, to prevent the vehicle battery from discharging when the ignition is off.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.5
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• pp.126-141
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• 2019

One of the Cooperative Intelligent Transportation System(C-ITS) priority services is collision prevention support service. Several studies have considered V2I2V communication-based collision prevention support services using Artificial Neural Networks(ANN). However, such services still show some issues due to a low penetration of C-ITS devices and large delay, particularly when loading massive traffic data into the server in the C-ITS center. This study proposes the Artificial Neural Network-based Collision Warning Service(ACWS), which allows upstream vehicle to update pre-determined weights involved in the ANN by using real-time sectional traffic information. This research evaluates the proposed service with respect to various penetration rates and delays. The evaluation result shows the performance of the ACWS increases as the penetration rate of the C-ITS devices in the vehicles increases or the delay decreases. Furthermore, it reveals a better performance is observed in more advanced ANN model-based ACWS for any given set of conditions.

• Proceedings of the KSR Conference
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• 2003.10c
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• pp.287-294
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• 2003

There are a lot of curved subway stations in Seoul metropolitan area. These must be straightly constructed as many as possible. But some of stations are roundly designed and built in order to avoid pre-existed underground obstacle such as basement of high rise building, underground gas or water pipe line and subway stations from another line. As shown fig 1, one of the biggest problem occurring curved subway station is considered large gap between platform and vehicle when vehicle completely stop at the station. The gap potentially is in existence to subway passenger as very dangerous factors in rush hours. If passenger accidentally drop their food or leg between this gap when they get on the train and train leaves station, the passenger will be seriously injured by vehicle. In this paper, various design and instruments are introduced and best solution for this matter will be presented. In order to eliminate any possibility of accident happened gap between platform and vehicle, KRRI(Korea Railroad Research Institute) have been developed new safety instrument. These technologies were applied for patent by KRRI. These mechanisms will provide confidence as well as safety to Korean subway passenger