• Title, Summary, Keyword: IR sensors

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Design and Analysis of Flame Signal Detection with the Combination of UV/IR Sensors (UV/IR센서 결합에 의한 불꽃 영상검출의 설계 및 분석)

  • Kang, Daeseok;Kim, Eunchong;Moon, Piljae;Sin, Wonho;Kang, Min-goo
    • Journal of Internet Computing and Services
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    • v.14 no.2
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    • pp.45-51
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    • 2013
  • In this paper, the combination of ultraviolet and infrared sensors based design for flame signal detection algorithms was proposed with the application of light-wavelength from burning. And, the performance result of image detection was compared by an ultraviolet sensor, an infrared sensor, and the proposed dual-mode sensors(combination of ultraviolet and infrared sensors).

Robust Map Building in Narrow Environments based on Combination of Sonar and IR Sensors (좁은 환경에서 초음파 및 적외선 센서를 융합한 강인한 지도작성)

  • Han, Hye-Min;Song, Jae-Bok
    • The Journal of Korea Robotics Society
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    • v.6 no.1
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    • pp.42-48
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    • 2011
  • It is very important for a mobile robot to recognize and model its environments for navigation. However, the grid map constructed by sonar sensors cannot accurately represent the environment, especially the narrow environment, due to the angular uncertainty of sonar data. Therefore, we propose a map building scheme which combines sonar sensors and IR sensors. The maps built by sonar sensors and IR sensors are combined with different weights which are determined by the degree of translational and rotational motion of a robot. To increase the effectiveness of sensor fusion, we also propose optimal sensor arrangement through various experiments. The experimental results show that the proposed method can represent the environment such as narrow corridor and open door more accurately than conventional sonar sensor-based map building methods.

Grid Map Building and Sample-based Data Association for Mobile Robot Equipped with Low-Cost IR Sensors (저가 적외선센서를 장착한 이동로봇에 적용 가능한 격자지도 작성 및 샘플기반 정보교합)

  • Kwon, Tae-Bum;Song, Jae-Bok
    • The Journal of Korea Robotics Society
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    • v.4 no.3
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    • pp.169-176
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    • 2009
  • Low-cost sensors have been widely used for mobile robot navigation in recent years. However, navigation performance based on low-cost sensors is not good enough to be practically used. Among many navigation techniques, building of an accurate map is a fundamental task for service robots, and mapping with low-cost IR sensors was investigated in this research. The robot's orientation uncertainty was considered for mapping by modifying the Bayesian update formula. Then, the data association scheme was investigated to improve the quality of a built map when the robot's pose uncertainty was large. Six low-cost IR sensors mounted on the robot could not give rich data enough to align the range data by the scan matching method, so a new sample-based method was proposed for data association. The real experiments indicated that the mapping method proposed in this research was able to generate a useful map for navigation.

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Low-Cost IR Sensor-based Localization Using Accumulated Range Information (누적된 거리정보를 이용하는 저가 IR 센서 기반의 위치추정)

  • Choi, Yun-Kyu;Song, Jae-Bok
    • Journal of Institute of Control, Robotics and Systems
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    • v.15 no.8
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    • pp.845-850
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    • 2009
  • Localization which estimates a robot's position and orientation in a given environment is very important for mobile robot navigation. Although low-cost sensors are preferred for practical service robots, they suffer from the inaccurate and insufficient range information. This paper proposes a novel approach to increasing the success rate of low-cost sensor-based localization. In this paper, both the previous and the current data obtained from the IR sensors are used for localization in order to utilize as much environment information as possible without increasing the number of sensors. The sensor model used in the monte carlo localization (MCL) is modified so that the accumulated range information may be used to increase the accuracy in estimating the current robot pose. The experimental results show that the proposed method can robustly estimate the robot's pose in indoor environments with several similar places.

Localization of Mobile Robot Using Multi IR Range Sensors (다중 IR 거리센서를 이용한 이동로봇의 자기위치 인식)

  • Ryoo, Young-Jae
    • Journal of Korean Institute of Intelligent Systems
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    • v.17 no.6
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    • pp.744-748
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    • 2007
  • In this paper, a new localization method of indoor mobile robot using multi IR(infrared) range sensors is proposed. Each IR range sensor detects the edge of obstacles and wall using the acquired range data. The environment map is built by the merging process of the detected edge data of each sensor. The performance of proposed system is verified by the comparison of the real environment and the detected map in experiments.

Fabrication of Infrared Filters for Three-Dimensional CMOS Image Sensor Applications

  • Lee, Myung Bok
    • Transactions on Electrical and Electronic Materials
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    • v.18 no.6
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    • pp.341-344
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    • 2017
  • Infrared (IR) filters were developed to implement integrated three-dimensional (3D) image sensors that are capable of obtaining both color image and depth information at the same time. The combination of light filters applicable to the 3D image sensor is composed of a modified IR cut filter mounted on the objective lens module and on-chip filters such as IR pass filters and color filters. The IR cut filters were fabricated by inorganic $SiO_2/TiO_2$ multilayered thin-film deposition using RF magnetron sputtering. On-chip IR pass filters were synthetized by dissolving various pigments and dyes in organic solvents and by subsequent patterning with photolithography. The fabrication process of the filters is fairly compatible with the complementary metal oxide semiconductor (CMOS) process. Thus, the IR cut filter and IR pass filter combined with conventional color filters are considered successfully applicable to 3D image sensors.

A DSP System for On-line Monitoring in Laser Welding Using a IR and UV Sensors (IR 및 UV센서를 이용한 레이저 용접시의 실시간 모니터링 DSP 시스템)

  • Yoon Choong-Sup
    • Journal of Welding and Joining
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    • v.23 no.4
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    • pp.53-58
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    • 2005
  • We designed a weld monitoring system with UV and IR sensors using a embedded DSP controller for implementing a distribution system; running stand alone and communication with outside by industrial standard protocols. Also this system provided a USB port in order to be acquiring data in PC. The user interface program in PC visualized the IR and W data in time, frequency and state space. A correlation of IR and UV signals showed closely related to weld quality. A rapid change of geometry can be found through a moving average filter. And the average value of IR signal at an interval represented a welding width and depth. Through these results, we proposed a monitoring algorithm for a integer type DSP.

Obstacle Recognition and Avoidance of the Bio-mimetic Underwater Robot using IR and Compass Senso (IR 센서 및 Compass 센서를 이용한 생체 모방형 수중 로봇의 장애물 인식 및 회피)

  • Lee, Dong-Hyuk;Kim, Hyun-Woo;Lee, Jang-Myung
    • Journal of Institute of Control, Robotics and Systems
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    • v.18 no.10
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    • pp.928-933
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    • 2012
  • In this paper, the IR and compass sensors for the underwater system were used. The walls of the water tank have been recognized and avoided treating the walls as obstacles by the bio-mimetic underwater robot. This paper is consists of two parts: 1.The hardware part for the IR and compass sensors and 2.The software part for obstacle avoidance algorithm while the bio-mimetic robot is swimming with the obstacle recognition. Firstly, the hardware part controls through the RS-485 communications between a microcontroller and the bio-mimetic underwater robot. The software part is simulated for obstacle recognition and collision avoidance based upon the data from IR and compass sensors. Actually, the bio-mimetic underwater robot recognizes where is the obstacle as well as where is the bio-mimetic robot itself while it is moving in the water. While the underwater robot is moving at a constant speed recognizing the wall of water tank as an obstacle, an obstacle avoidance algorithm is applied for the wall following swimming based upon the IR and compass sensor data. As the results of this research, it is concluded that the bio-mimetic underwater robot can follow the wall of the water tank efficiently, while it is avoiding collision to the wall.

Common Optical System for the Fusion of Three-dimensional Images and Infrared Images

  • Kim, Duck-Lae;Jung, Bo Hee;Kong, Hyun-Bae;Ok, Chang-Min;Lee, Seung-Tae
    • Current Optics and Photonics
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    • v.3 no.1
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    • pp.8-15
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    • 2019
  • We describe a common optical system that merges a LADAR system, which generates a point cloud, and a more traditional imaging system operating in the LWIR, which generates image data. The optimum diameter of the entrance pupil was determined by analysis of detection ranges of the LADAR sensor, and the result was applied to design a common optical system using LADAR sensors and LWIR sensors; the performance of these sensors was then evaluated. The minimum detectable signal of the $128{\times}128-pixel$ LADAR detector was calculated as 20.5 nW. The detection range of the LADAR optical system was calculated to be 1,000 m, and according to the results, the optimum diameter of the entrance pupil was determined to be 15.7 cm. The modulation transfer function (MTF) in relation to the diffraction limit of the designed common optical system was analyzed and, according to the results, the MTF of the LADAR optical system was 98.8% at the spatial frequency of 5 cycles per millimeter, while that of the LWIR optical system was 92.4% at the spatial frequency of 29 cycles per millimeter. The detection, recognition, and identification distances of the LWIR optical system were determined to be 5.12, 2.82, and 1.96 km, respectively.