• Title/Summary/Keyword: single sensor

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Póincare Sphere Analysis of the Pretilt Angle Effect on the Viewing Angle of a Single-Domain FFS Liquid-Crystal Mode

  • Lee, Dong-Jin;Oh, Seong-Woo;Shim, Gyu-Yeop;Choi, Jun-Chan;Lee, Joun-Ho;Kim, Byeong Koo;Kim, Hak-Rin
    • Journal of the Optical Society of Korea
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    • v.20 no.1
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    • pp.156-164
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    • 2016
  • We demonstrated the pretilt angle effect on the viewing angle properties of a single-domain fringe-field switching (FFS) liquid crystal (LC) mode. By performing the Póincare sphere analysis, we investigated, in detail, the origin of the viewing angle asymmetry that exists in the single-domain FFS LC mode both in the field-on and field-off states. Using this analysis, we confirmed that the pretilt angle reduces the viewing angle symmetry in the single-domain FFS LC mode. Finally, we examined the effect of a zero pretilt angle on the viewing angle symmetry by evaluating real single-domain FFS LC cells.

Realization of Object Detection Algorithm and Eight-channel LiDAR sensor for Autonomous Vehicles (자율주행자동차를 위한 8채널 LiDAR 센서 및 객체 검출 알고리즘의 구현)

  • Kim, Ju-Young;Woo, Seong Tak;Yoo, Jong-Ho;Park, Young-Bin;Lee, Joong-Hee;Cho, Hyun-Chang;Choi, Hyun-Yong
    • Journal of Sensor Science and Technology
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    • v.28 no.3
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    • pp.157-163
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    • 2019
  • The LiDAR sensor, which is widely regarded as one of the most important sensors, has recently undergone active commercialization owing to the significant growth in the production of ADAS and autonomous vehicle components. The LiDAR sensor technology involves radiating a laser beam at a particular angle and acquiring a three-dimensional image by measuring the lapsed time of the laser beam that has returned after being reflected. The LiDAR sensor has been incorporated and utilized in various devices such as drones and robots. This study focuses on object detection and recognition by employing sensor fusion. Object detection and recognition can be executed as a single function by incorporating sensors capable of recognition, such as image sensors, optical sensors, and propagation sensors. However, a single sensor has limitations with respect to object detection and recognition, and such limitations can be overcome by employing multiple sensors. In this paper, the performance of an eight-channel scanning LiDAR was evaluated and an object detection algorithm based on it was implemented. Furthermore, object detection characteristics during daytime and nighttime in a real road environment were verified. Obtained experimental results corroborate that an excellent detection performance of 92.87% can be achieved.

The Incremental Delta-Sigma ADC for A Single-Electrode Capacitive Touch Sensor (단일-극 커패시터 방식의 터치센서를 위한 Incremental 델타-시그마 아날로그-디지털 변환기 설계)

  • Jung, Young-Jae;Roh, Jeong-Jin
    • Journal of IKEEE
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    • v.17 no.3
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    • pp.234-240
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    • 2013
  • This paper presents an incremental delta-sigma analog-to-digital converter (ADC) for a single-electrode capacitive touch sensor. The second-order cascade of integrators with distributed feedback (CIFB) delta-sigma modulator with 1-bit quantization was fabricated by a $0.18-{\mu}m$ CMOS process. In order to achieve a wide input range in this incremental delta-sigma analog-to-digital converter, the shielding signal and the digitally controlled offset capacitors are used in front of a converter. This circuit operated at a supply voltage of 2.6 V to 3.7 V, and is suitable for single-electrode capacitive touch sensor for ${\pm}10-pF$ input range with sub-fF resolution.

Hardware optimized high quality image signal processor for single-chip CMOS Image Sensor (Single-chip CMOS Image Sensor를 위한 하드웨어 최적화된 고화질 Image Signal Processor 설계)

  • Lee, Won-Jae;Jung, Yun-Ho;Lee, Seong-Joo;Kim, Jae-Seok
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.44 no.5
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    • pp.103-111
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    • 2007
  • In this paper, we propose a VLSI architecture of hardware optimized high quality image signal processor for a Single-chip CMOS Image Sensor(CIS). The Single-chip CIS is usually used for mobile applications, so it has to be implemented as small as possible while maintaining the image quality. Several image processing algorithms are used in ISP to improve captured image quality. Among the several image processing blocks, demosaicing and image filter are the core blocks in ISP. These blocks need line memories, but the number of line memories is limited in a low cost Single-chip CIS. In our design, high quality edge-adaptive and cross channel correlation considered demosaicing algorithm is adopted. To minimize the number of required line memories for image filter, we share the line memories using the characteristics of demosaicing algorithm which consider the cross correlation. Based on the proposed method, we can achieve both high quality and low hardware complexity with a small number of line memories. The proposed method was implemented and verified successfully using verilog HDL and FPGA. It was synthesized to gate-level circuits using 0.25um CMOS standard cell library. The total logic gate count is 37K, and seven and half line memories are used.

Fusion System of Time-of-Flight Sensor and Stereo Cameras Considering Single Photon Avalanche Diode and Convolutional Neural Network (SPAD과 CNN의 특성을 반영한 ToF 센서와 스테레오 카메라 융합 시스템)

  • Kim, Dong Yeop;Lee, Jae Min;Jun, Sewoong
    • The Journal of Korea Robotics Society
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    • v.13 no.4
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    • pp.230-236
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    • 2018
  • 3D depth perception has played an important role in robotics, and many sensory methods have also proposed for it. As a photodetector for 3D sensing, single photon avalanche diode (SPAD) is suggested due to sensitivity and accuracy. We have researched for applying a SPAD chip in our fusion system of time-of-fight (ToF) sensor and stereo camera. Our goal is to upsample of SPAD resolution using RGB stereo camera. Currently, we have 64 x 32 resolution SPAD ToF Sensor, even though there are higher resolution depth sensors such as Kinect V2 and Cube-Eye. This may be a weak point of our system, however we exploit this gap using a transition of idea. A convolution neural network (CNN) is designed to upsample our low resolution depth map using the data of the higher resolution depth as label data. Then, the upsampled depth data using CNN and stereo camera depth data are fused using semi-global matching (SGM) algorithm. We proposed simplified fusion method created for the embedded system.

Reliability Verification of the Clothing Pressure Meter Utilizing the Arduino Board (아두이노 활용 의복압 측정기 제작 및 신뢰도 검증)

  • Kim, Nam Yim;Park, Gin Ah
    • Journal of the Korean Society of Clothing and Textiles
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    • v.46 no.5
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    • pp.723-740
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    • 2022
  • This study aimed to develop an Arduino-based garment pressure device (APD) on the basis of using Single-Tact sensor by suggesting the reliable clothing pressure range and coefficient of selected sensors through the APD calibration process. Once the APD was validated, the pressure of the experimental men's lower body compression wears was measured using the APD and was compared to the pressure measured using the existing air-pack type pressure meter. The subjects were one mannequin and eight men in their 20's, and the trial compression wears were calf sleeves and pants. Clothing pressures were measured in hip, mid-thigh, calf, and ankle. In terms of the 99% confidence level, the experimental clothing pressure measured at the designated measuring points using the APD was considered identical to the one measured using an existing clothing pressure meter. Therefore, on the basis of the experiment results, this study demonstrated that the APD is as reliable as the existing clothing pressure meter within the pressure ranges of 0.54-16.79 kPa and 0.18-25.47 kPa as provided by the SingleTact sensor supplier's data on the basis of using an external ADC (Analog to Digital Converter) module.

Fiber optic pressure sensor (광섬유 압력센서)

  • 이기완;배준형
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.640-643
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    • 1996
  • In this paper, a sensitivity of the fiber optic pressure sensor in water is demonstrated. A single mode optical fiber Mach-Zehnder interferometer used to detect the change in optical path length produced by the change of fiber optic strain in water. The sensitivity with this system measured 100.mu.psia through an experiment in the static response.

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Development of a single-structured MEMS gyro-accelerometer

  • Sung, Woon-Tahk;Lee, Jang-Gyu;Kang, Tae-Sam
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.592-595
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    • 2004
  • This paper presents a study on the development of a multi-sensing inertial sensor with a single mechanical structure, which can be used both as a gyroscope and an accelerometer. The proposed MEMS gyro-accelerometer is designed to detect the angular rate and the acceleration at the same time using two separate detection circuits for one proof mass. In this study, the detection and signal processing circuit for an effective signal processing of different inertial measurements is designed, fabricated, and tested. The experimental results show that the performances of the gyro-accelerometer have resolutions of 1mg and 0.025deg/sec and nonlinearities of less than 0.5% for the accelerometer and the gyroscope, respectively, which are similar results with those of sensors with different structures and different detection circuits. The size of the sensor is reduced almost by 50% comparing with the sensors of separated proof mass.

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Map-Building for Path-Planning of an Autonomous Mobile Robot Using a Single Ultrasonic Sensor (단일 초음파센서를 이용한 자율 주행 로봇의 경로 계획용 지도작성)

  • Kim, Young-Geun;Kim, HaK-Il
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.51 no.12
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    • pp.577-582
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    • 2002
  • The objective of this paper is to produce a weighted graph map for path-planning of an autonomous mobile robot(AMR) based on the measurements from a single ultrasonic sensor, which are acquired when the autonomous mobile robot explores unknown indoor circumstance. The AMR navigates in th unknown space by following the wall and gathers the range data using the ultrasonic sensor, from which the occupancy grid map is constructed by associating the range data with occupancy certainties. Then, the occupancy grid map is converted to a weighted graph map suing morphological image processing and thinning algorithms. the path- planning for autonomous navigation of a mobile robot can be carried out based on the occupancy grid map. These procedures are implemented and tested using an AMR, and primary results are presented in this paper.

Analysis of Temperature Distribution using Finite Element Method for SCS Insulator Wafers (유한요소법을 이용한 SCS 절연 웨이퍼의 온도분포 해석)

  • Kim, O.S.
    • Journal of Power System Engineering
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    • v.5 no.4
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    • pp.11-17
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    • 2001
  • Micronization of sensor is a trend of the silicon sensor development with regard to a piezoresistive silicon pressure sensor, the size of the pressure sensor diaphragm have become smaller year by year, and a microaccelerometer with a size less than $200{\sim}300{\mu}m$ has been realized, In this paper, we study some of the bonding processes of SCS(single crystal silicon) insulator wafer for the microaccelerometer. and their subsequent processes which might affect thermal loads. The finite element method(FEM) has been a standard numerical modeling technique extensively utilized in micro structural engineering discipline for design of SCS insulator wafers. Successful temperature distribution analysis and design of the SCS insulator wafers based on the tunneling current concept using microaccelerometer depend on the knowledge about normal mechanical properties of the SCS and $SiO_2$ layer and their control through manufacturing processes.

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