• Title/Summary/Keyword: Vehicle Driving

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Detection of Visual Attended Regions in Road Images for Assisting Safety Driving (안전 운전 지원을 위한 도로 영상에서 시각 주의 영역 검출)

  • Kim, Jong-Bae
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.49 no.1
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    • pp.94-102
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    • 2012
  • Recently entered into an aging socity as the number of elderly drivers is increasing. Traffic accidents of elderly drivers are caused by driver inattentions such as poor vehicle control due to aging, visual information retrieval problems caused by presbyopia, and objects identifying problems caused by low contrast sensitivity. In this paper, detection method of ROIs on the road is proposed. The proposed method creates the saliency map to detect the candidate ROIs from the input image. And, the input image is segmented to obtain the ROIs boundary. Finally, selective visual attention regions are detected according to the presence or absence of a segmented region with saliency pixels. Experimental results from a variety of outdoor environmental conditions, the proposed method presented a fast object detection and a high detection rate.

Design and Implementation of Safe Commuting Management Mobile App for Preschoolers (학령전 아동 안전 통학 관리를 위한 모바일 앱 설계 및 구현)

  • Song, Doo heon;Park, Eui-In;Lee, Sang Joon;Lee, Junhyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.10a
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    • pp.434-436
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    • 2018
  • Accidents of commuting vehicles for preschoolers continue to occur despite various safety policies from the government. In order to minimize such accidents, it is necessary to use both the vehicle-mounted safety commutation management software for the driver, and the mobile App to manage the safe schooling of the children that can inform such information to parents in time. In this paper, we describe the design and implementation of the safety management software architecture. The mobile application is designed for Android operating systems. It informs current driving information if the bus as well as the list of current boarded children. Teacher in the bus can manage exceptional cases such as riding child without RFID and unregistered temporary riders like grandparent for convenience and flexibility.

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Virtual Reality Driving Simulation for Evaluation of Road Safety Facilities (도로안전시설물 평가를 위한 가상현실 운전 시뮬레이션 구축)

  • Chae, Byeong Hoon;Chae, Ho Keun;Lee, Joo Yeoun
    • Journal of Digital Convergence
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    • v.16 no.7
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    • pp.249-257
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    • 2018
  • The purpose of this study is to construct a virtual reality simulation environment for searching and evaluating evaluation criteria for road safety facilities with new technologies. Virtual reality simulation requires high realism and accurate behavior data extraction. To do this, we used the Unreal Engine to create the environment by dividing it into an external environment and a vehicle environment. After that, a sample simulation for the luminescent road markers and preliminary experiments were conducted. As a result, luminescent road markers showed better 5m interval than 10m interval. It can be confirmed that it can be used in the simulation for searching the evaluation criteria for the new road safety facilities that incorporate the new technology in the future. In the future, it will be possible to simulate various environments by adding modeling and sample components for other road facilities.

Impacts of Automated Vehicles on Traffic Flow Changes (자율주행자동차 도입으로 인한 교통흐름 변화 분석)

  • Jung, Seung weon;Moon, Young jun;Lee, Sung Yeol;Hwang, Kee Yeon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.16 no.6
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    • pp.244-257
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    • 2017
  • Traffic congestion occurs from drivers' human factors such as driver reaction time, reckless lane change, and inexperienced driving. When Automated Vehicles are introduced, human factors are excluded, resulting in increased average vehicle speed, stabilizing traffic flow, and increasing road capacity. This study analyzed traffic flow changes through traffic volume-speed-density plots, and increased road capacity due to Automated Vehicles. As a result of the analysis, when rate of automated vehicles gests higher, the traffic flow became stable. Additionally, it was analyzed that when all vehicles were automated, the road capacity increased by about 120 %. It is expected that there will be a positive expectation in terms of traffic congestion and traffic demand management due to the introduction of Automated Vehicles.

Design of Antenna for Intelligent Detection Sensor (지능형 주차검지센서용 안테나 개발)

  • Choi, Yoon-Seon;Hong, Ji-Hun;Woo, Jong-Myung
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.19 no.2
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    • pp.104-109
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    • 2020
  • In this paper, we proposed a miniaturized folded inverted F antenna with ISM-band (center frequency : 447 MHz) for mounting in intelligent parking sensor. First, to mount the antenna in the intelligent parking sensor module (72 mm × 70 mm) with limited size, a folded inverted F antenna was designed at low frequency 447 MHz (wavelength λ : 670 mm) of the ISM-band. As a result, it resonates in the ISM band and obtains suitable characteristic with a -10 dB bandwidth of 13 MHz (2.9%). In addition, the H-plane pattern by the vertical and horizontal elements represents the omni-directional patterns from which the null point is removed, and the E-plane has directivity in a specific direction. Finally, it is suitable as and antenna for vehicle management in parking lots.

A Study on the Determining Appropriate Truck and Commodity Types for V2X-based Truck Platooning (V2X 기반 군집주행을 위한 적정 화물차 및 품목 선정 기초연구)

  • Ryu, Seungkyu;Choi, Yoon-Hyuk;Jeong, Harim;Kwon, Bongkyung;Yun, Ilsoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.19 no.2
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    • pp.122-134
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    • 2020
  • To improve traffic congestion, reduce fuel consumption, and improve the stability of truck operations, truck platooning, in which several trucks are organized in a single platoon, is being actively researched globally. Compared to the operation of a single truck, the operation of a truck platoon requires more caution before the actual operation because an accident of one vehicle in the platoon can lead to an accident with all the vehicles in the platoon. Therefore, this study examined the types of trucks and cargo suitable for truck platooning to prevent safety accidents. The review showed that a closed-van-type truck is appropriate for truck platooning to prevent falling objects during driving. In the case of cargo types, it is necessary to exclude liquids and dangerous goods defined in related laws from truck platooning.

Decision Making Process for Wind Barrier Installation Considering Car Accident Risk (차량사고 위험도를 고려한 방풍벽 설치기준)

  • Kim, Dong-Hyun;Lee, Il-Keun;Kwon, Soon-Duck;Jo, Byung-Wan
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.23 no.1
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    • pp.17-26
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    • 2010
  • This study presents a decision making process for installation of wind barrier which is used to reduce the wind acting on running vehicle on expressway. At the first stage of this study, the lateral deviations of running vehicles under side winds were computed from the commercial softwares, CarSim and TruckSim, and then the critical wind speeds for car accident were evaluated from predefined risk index. To determine whether it is needed to install wind barrier or not, cost and benefit from wind barrier are calculated during lifetime. In obtaining car accidental risk, probabilistic distribution of wind speed, daily traffic volume, mixture ratio in the volume, and duration time for wind speed range are considered. It is recommended to install wind barrier if benefit from the barrier installation exceed construction cost. In the numerical examples, case studies were shown for risk and benefit calculation and main risky regions on Korean highway were all evaluated to identify the number of installation sites.

A Study on the Implement of Image Recognition the Road Traffic Safety Information Board using Nearest Neighborhood Decision Making Algorithm (최근접 이웃 결정방법 알고리즘을 이용한 도로교통안전표지판 영상인식의 구현)

  • Jung Jin-Yong;Kim Dong-Hyun;Lee So-Haeng
    • Management & Information Systems Review
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    • v.4
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    • pp.257-284
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    • 2000
  • According as the drivers increase who have their cars, the comprehensive studies on the automobile for the traffic safety have been raised as the important problems. Visual Recognition System for radio-controled driving is a part of the sensor processor of Unmanned Autonomous Vehicle System. When a driver drives his car on an unknown highway or general road, it produces a model from the successively inputted road traffic information. The suggested Recognition System of the Road Traffic Safety Information Board is to recognize and distinguish automatically a Road Traffic Safety Information Board as one of road traffic information. The whole processes of Recognition System of the Road Traffic Safety Information Board suggested in this study are as follows. We took the photographs of Road Traffic Safety Information Board with a digital camera in order to get an image and normalize bitmap image file with a size of $200{\times}200$ byte with Photo Shop 5.0. The existing True Color is made up the color data of sixteen million kinds. We changed it with 256 Color, because it has large capacity, and spend much time on calculating. We have practiced works of 30 times with erosion and dilation algorithm to remove unnecessary images. We drawing out original image with the Region Splitting Technique as a kind of segmentation. We made three kinds of grouping(Attention Information Board, Prohibit Information Board, and Introduction Information Board) by RYB( Red, Yellow, Blue) color segmentation. We minimized the image size of board, direction, and the influence of rounding. We also minimized the Influence according to position. and the brightness of light and darkness with Eigen Vector and Eigen Value. The data sampling this feature value appeared after building the learning Code Book Database. The suggested Recognition System of the Road Traffic Safety Information Board firstly distinguished three kinds of groups in the database of learning Code Book, and suggested in order to recognize after comparing and judging the board want to recognize within the same group with Nearest Neighborhood Decision Making.

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Effects of Grid Characteristics on High Speed Circuit Breaker for Railway Vehicle (철도 차량용 직류 고속도 차단기의 그리드 특성 해석)

  • Park, Ji-Won;Jung, Jooyoung;Choi, Jinnil
    • Journal of the Korean Society for Railway
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    • v.19 no.2
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    • pp.117-123
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    • 2016
  • High speed circuit breakers(HSCB) interrupt the generated arc within the arc chute to turn off the electricity flowing through the main circuit to prevent ground faults. In order to explore the arc generated from the contactor operation, arc definition, establishment of arc interruption method, and analysis of magnetic driving force are required. In this paper, arc interruption capability has been estimated by exploring the difference in magnetic flux density of Lorenz forces using finite element analysis. In addition, since the number of grids and changes in the grid shape within the arc chute influence the formation of the inner magnetic field, its effects have been explored to enhance arc interruption capability. Assessment of interruption capability and analysis of grid shape, with rated operating current, are reported.

A Study of a Secure Smart Car System using Attribute-based Delegation Method (속성 기반 권한위임 관리 기법을 사용한 스마트 자동차 안전성 검토에 관한 연구)

  • Kim, Jin-Mook;Moon, Jeong-Kyung;Hwang, Deuk-Young
    • Convergence Security Journal
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    • v.19 no.3
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    • pp.71-79
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    • 2019
  • The demand of smart cars is increasing rapidly. International stand organize such as 3GPP and 5GAA are proposing standard communication protocvols for connected-car, and automotive network infrastructure. But Smart car network have many security threats and more dangerous against the existed wire communication network. Typically, peripheral devices of a smart car may disguise their identity and steal location information and personal information about the vehicle. In addition, the infrastructure elements around smart cars can conspire and put driving cars in danger, threatening lives. This is a very serious security threat. Therefore, in order to solve these problems, we proposed a system that is secure from collusion and tampering attacks using attribute-based authorize delegation method and threshold encryption algorithms. We have demonstrated using a semantic safety model that the proposed system can be safe from collusion attack.