• Title/Summary/Keyword: Visibility Sensor

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Traffic Light Detection Method in Image Using Geometric Analysis Between Traffic Light and Vision Sensor (교통 신호등과 비전 센서의 위치 관계 분석을 통한 이미지에서 교통 신호등 검출 방법)

  • Choi, Changhwan;Yoo, Kook-Yeol;Park, Yongwan
    • IEMEK Journal of Embedded Systems and Applications
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    • v.10 no.2
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    • pp.101-108
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    • 2015
  • In this paper, a robust traffic light detection method is proposed by using vision sensor and DGPS(Difference Global Positioning System). The conventional vision-based detection methods are very sensitive to illumination change, for instance, low visibility at night time or highly reflection by bright light. To solve these limitations in visual sensor, DGPS is incorporated to determine the location and shape of traffic lights which are available from traffic light database. Furthermore the geometric relationship between traffic light and vision sensor is used to locate the traffic light in the image by using DGPS information. The empirical results show that the proposed method improves by 51% in detection rate for night time with marginal improvement in daytime environment.

An Analysis of 2D Positional Accuracy of Human Bodies Detection Using the Movement of Mono-UWB Radar

  • Kiasari, Mohammad Ahangar;Na, Seung You;Kim, Jin Young
    • Journal of Sensor Science and Technology
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    • v.23 no.3
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    • pp.149-157
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    • 2014
  • This paper considers the ability of counting and positioning multi-targets by using a mobile UWB radar device. After a background subtraction process, distinguishing between clutters and human body signals, the position of targets will be computed using weighted Gaussian mixture methods. While computer vision offers many advantages, it has limited performance in poor visibility conditions (e.g., at night, haze, fog or smoke). UWB radar can provide a complementary technology for detecting and tracking humans, particularly in poor visibility or through-wall conditions. As we know, for 2D measurement, one method is the use of at least two receiver antennas. Another method is the use of one mobile radar receiver. This paper tried to investigate the position detection of the stationary human body using the movement of one UWB radar module.

Fog Generated Field Test for Luminance Criteria of Variable Speed-Limit Signs (가변속도형 표지 휘도기준 정립을 위한 안개재현 현장실험)

  • Kim, Yongseok;Lee, Sukki;Kim, Soullam
    • International Journal of Highway Engineering
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    • v.18 no.6
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    • pp.77-85
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    • 2016
  • OBJECTIVES : A fog generated field test was conducted to analyze the relationship between the luminance of variable speed-limit signs and the legibility distance under various fog density conditions. By using this study, appropriate luminance values can be selected depending on the density of fog. METHODS : An actual tunnel was selected as the area to conduct the test, as other places cannot maintain the fog condition because of rapid air current. Ninety-two subjects were recruited for this test, which took place during the course of three days. Visibility-distance detecting sensor was used to measure the visibility distance due to the fog density time, simultaneously with the evaluation of legibility distance by subjects. RESULTS : The test results show the relationship between luminance values and the legibility distance corresponding to the visibility distance due to fog. According to the technical test results, lower luminance value such as $7000cd/m^2$ corresponds to less legibility distance compared to higher values such as $20000cd/m^2$ or $40000cd/m^2$. However, the amount of difference between $20000cd/m^2$ and $40000cd/m^2$ is negligible in our test. CONCLUSIONS : The results of this study can be used to select appropriate luminance of valuable speed signs under fog conditions. Hence, drivers can expect to have more room to respond to adverse weather conditions, thereby reducing the risk of accidents.

HDF: Hybrid Debugging Framework for Distributed Network Environments

  • Kim, Young-Joo;Song, Sejun;Kim, Daeyoung
    • ETRI Journal
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    • v.39 no.2
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    • pp.222-233
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    • 2017
  • Debugging in distributed environments, such as wireless sensor networks (WSNs), which consist of sensor nodes with limited resources, is an iterative and occasionally laborious process for programmers. In sensor networks, it is not easy to find unintended bugs that arise during development and deployment, and that are due to a lack of visibility into the nodes and a dearth of effective debugging tools. Most sensor network debugging tools are not provided with effective facilities such as real-time tracing, remote debugging, or a GUI environment. In this paper, we present a hybrid debugging framework (HDF) that works on WSNs. This framework supports query-based monitoring and real-time tracing on sensor nodes. The monitoring supports commands to manage/control the deployed nodes, and provides new debug commands. To do so, we devised a debugging device called a Docking Debug-Box (D2-Box), and two program agents. In addition, we provide a scalable node monitor to enable all deployed nodes for viewing. To transmit and collect their data or information reliably, all nodes are connected using a scalable node monitor applied through the Internet. Therefore, the suggested framework in theory does not increase the network traffic for debugging on WSNs, and the traffic complexity is nearly O(1).

MULTI-SENSOR DATA FUSION FOR FUTURE TELEMATICS APPLICATION

  • Kim, Seong-Baek;Lee, Seung-Yong;Choi, Ji-Hoon;Choi, Kyung-Ho;Jang, Byung-Tae
    • Journal of Astronomy and Space Sciences
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    • v.20 no.4
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    • pp.359-364
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    • 2003
  • In this paper, we present multi-sensor data fusion for telematics application. Successful telematics can be realized through the integration of navigation and spatial information. The well-determined acquisition of vehicle's position plays a vital role in application service. The development of GPS is used to provide the navigation data, but the performance is limited in areas where poor satellite visibility environment exists. Hence, multi-sensor fusion including IMU (Inertial Measurement Unit), GPS(Global Positioning System), and DMI (Distance Measurement Indicator) is required to provide the vehicle's position to service provider and driver behind the wheel. The multi-sensor fusion is implemented via algorithm based on Kalman filtering technique. Navigation accuracy can be enhanced using this filtering approach. For the verification of fusion approach, land vehicle test was performed and the results were discussed. Results showed that the horizontal position errors were suppressed around 1 meter level accuracy under simulated non-GPS availability environment. Under normal GPS environment, the horizontal position errors were under 40㎝ in curve trajectory and 27㎝ in linear trajectory, which are definitely depending on vehicular dynamics.

A Visibility Sensor using a 905nm Pulsed Mode Laser (905nm 펄스 레이저를 이용한 시정계 센서)

  • 김광웅;전호경;송동혁;박정호
    • Proceedings of the Optical Society of Korea Conference
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    • 2002.07a
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    • pp.210-211
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    • 2002
  • 산업의 발전과 급속한 대도시화는 환경오염이라는 새로운 사회적 이슈를 발생시켰다. 시정(Visual Range)이란 대기의 혼탁도를 나타내는 기상요소로서, 정상적인 시각을 가진 사람이 목표를 식별할 수 있는 최대거리를 의미한다 시정은 대기오염을 판단할 수 있는 척도이며, 항만 및 공항 등에서는 인명 및 재산과 직접적인 관계를 갖고 있어, 최근 시정 측정에 대한 중요성이 높아지고 있다. 본 논문에서는 배경 잡음에 좋은 특성을 가지며, 보디- 정확한 시정 측정을 위하여 905nm 펄스 모드 반도체 레이저 다이오드를 이용한 시정계 센서를 제작하여 실험하였다. (중략)

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The Types of Road Weather Big Data and the Strategy for Their Use: Case Analysis (도로 기상 빅데이터 유형별 활용 전략: 국내외 사례 분석)

  • Hahm, Yukun;Jun, YongJoo;Kim, KangHwa;Kim, Seunghyun
    • The Journal of Bigdata
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    • v.2 no.2
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    • pp.129-140
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    • 2017
  • Weather acts through low visibility, precipitation, high winds, and temperature extremes to affect driver capabilities, vehicle performance (i.e., traction, stability and maneuverability), pavement friction, roadway infrastructure, crash risk, traffic flow, and agency productivity. Recently a variety of road weather big data sources such as CCTV, road sensor/systems, car sensor have been developed to solve the weather-related problems, This study identifies and defines the types and characteristics of these sources to suggest how to utilize them for car safety and efficiency as well as road management through analyzing domestic and oversea cases of road weather big data applications.

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Fiber Optic AC Voltage Sensor Using Fringe Counting (간섭무늬의 변화갯수 측정을 이용한 광섬유 교류전압센서)

  • 김봉규;김병윤;김만식
    • Korean Journal of Optics and Photonics
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    • v.5 no.1
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    • pp.158-165
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    • 1994
  • A fiber optic voltage sensor is demonstrated with a new signal processing scheme that displays the magnitude and the waveform of applied voltage with immunity from the signal frequency change. The sensor is based on a Mach-Zehnder interferometer with a PZT phase modulator as a sensing element. We observed a linear relationship between applied voltage and the number of fringe shift during a half cycle of the ac signal. The temperature dependence of the sensor output is experimentally evaluated over the temperature range from $-20^{\circ}C to 80^{\circ}C$. It is demonstrated that the detrimental polarization modulation effect can be overcome by using polarization maintaining fibers or a half-wave plate. plate.

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A Study on the Safety Vest by Sports and Leisure Population Distribution -Focusing on Motorcycle Vest- (스포츠 레저 인구 확산에 따른 안전 상의에 관한 연구 -모터사이클 상의를 중심으로-)

  • Lee, Hyunyoung
    • Journal of Fashion Business
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    • v.22 no.5
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    • pp.125-136
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    • 2018
  • This study intended to develop a motorcycle safe vest that can be prepared against accidents by mounting a smart module (with built-in sensor) on the safe vest in order to emphasize safety among functional aspects of the motorcycle clothing. The research method investigated professional books, prior research, and Internet data to examine the characteristics of motorcycle wear and the theoretical examination of smart wear, and analyzed the functional characteristics of the design by reviewing smart jacket and vest design cases for motorcycles currently on the market. As a results of study an interface device sensor, which contains a sensor with IMU(Intertial Measurement Unit) and CPU(Central Processing Unit), was inserted into a motorcycle top in order to draw attention to the safety of motorcycle riders. The IMU sensor attached to the vest detected the tilting motion of the rider to either left or right side to obtain data on left or right direction, sudden stop, and so forth and displayed left or right turn signal and sudden stop sign on the backplate (back) through the LED module. As for charging the device to operate LEDs, a generator, which is designed to convert the heat energy in the exhaust into electric energy, was used to efficiently self-produce the power required to operate LEDs of the top while riding.

Study on the Self Diagnosis of Reinforced Concrete Beam Retrofitted by Composite Materials with Optical Fiber Sensors (광섬유 센서를 이용한 복합재료로 보수보강된 철근콘크리트 보의 자기진단 기법개발)

  • 김기수;신영수;김종우;전재홍;조윤범
    • Proceedings of the Korean Society For Composite Materials Conference
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    • 2001.10a
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    • pp.57-60
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    • 2001
  • In order to extend the life time of building and civil infra-structure, nowadays, patch type fibrous composite materials are widely used. Retrofitted concrete columns and beams gain the stiffness and strength, but they lose toughness and show brittle failure. Usually, the cracks of concrete structures are visible with naked eyes and the status of the structure in the life cycle is estimated with visible inspection. After retrofitting of the structure, crack visibility is blocked by retrofitted composite materials. Therefore, structural monitoring after retrofitting is indispensible and self diagnosis method with optical fiber sensor is very useful. In this paper, We try to detect peel out effect and find the strain difference between main structure and retrofitting patch material when they separate each other.

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