• Title/Summary/Keyword: Angular sensor

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Development and Implementation of Functions for Mobile Robot Navigation (이동 로봇의 자율 주행용 함수 개발 및 구현)

  • Jeong, Seok-Ki;Ko, Nak-Yong;Kim, Tae-Gyun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.8 no.3
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    • pp.421-432
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    • 2013
  • This paper describes implementation of functions for mobile robot localization, which is one of the vital technologies for autonomous navigation of a mobile robot. There are several function libraries for mobile robot navigation. Some of them have limited applicability for practical use since they can be used only for simulation. Our research focuses on development of functions which can be used for localization of indoor robots. The functions implement deadreckoning and motion model of mobile robots, measurement model of range sensors, and frequently used calculations on angular directions. The functions encompass various types of robots and sensors. Also, various types of uncertainties in robot motion and sensor measurements are implemented so that the user can select proper ones for their use. The functions are tested and verified through simulation and experiments.

Data Analysis of Inertial Sensors for Train Positioning Detection System (열차위치검지 시스템을 위한 관성센서 데이터 분석 연구)

  • Kim, Seong Jin;Park, Sungsoo;Lee, Jae-Ho;Kang, Donghoon
    • Journal of the Korean Society for Nondestructive Testing
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    • v.35 no.1
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    • pp.18-24
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    • 2015
  • Train positioning detection information is fundamental for high-speed railroad inspection, making it possible to simultaneously determine the status and evaluate the integrity of railroad equipment. This paper presents the results of measurements and an analysis of an inertial measurement unit (IMU) used as a positioning detection sensors. Acceleration and angular rate measurements from the IMU were analyzed in the amplitude and frequency domains, with a discussion on vibration and train motions. Using these results and GPS information, the positioning detection of a Korean tilting train express was performed from Naju station to Illo station on the Honam-line. The results of a synchronized analysis of sensor measurements and train motion can help in the design of a train location detection system and improve the positioning detection performance.

Development of a Dual Axial Gyroscope with Piezoelectric Ceramics (압전세라믹을 이용한 2축형 회전센서 개발)

  • Ryoo, Hye-Ok;Lee, Young-Jin;Roh, Yong-Rae
    • The Journal of the Acoustical Society of Korea
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    • v.16 no.6
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    • pp.61-67
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    • 1997
  • Piezoelectric gyroscopes are the devices to measure angular rotational velocity of a system with respect to an inertial frame of reference means of the Coriolis principle. Most of current piezoelectric gyroscopes detect rotational velocity about a single axis of rotation. This paper describes development of a new dual axial gyroscope made out of the piezoelectric ceramic, PZT, which can overcome the limitation of the current single axial type. The validity of the new structure is checked through finite element analysis. Based on the design, an experimental sample of the sensor is fabricated and its performance is discussed in comparison with the theoretical expectation. The resutls show that the present gyroscope is capable of measuring the rotational velocity over two orthogonal axes simultaneously with good enough sensitivity and distinction between the two axial components of the rotation.

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Performance Improvement of a Pedestrian Dead Reckoning System using a Low Cost IMU (저가형 관성센서를 이용한 보행자 관성항법 시스템의 성능 향상)

  • Kim, Yun-Ki;Park, Jae-Hyun;Kwak, Hwy-Kuen;Park, Sang-Hoon;Lee, ChoonWoo;Lee, Jang-Myung
    • Journal of Institute of Control, Robotics and Systems
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    • v.19 no.6
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    • pp.569-575
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    • 2013
  • This paper proposes a method for PDR (Pedestrian Dead-Reckoning) using a low cost IMU. Generally, GPS has been widely used for localization of pedestrians. However, GPS is disabled in the indoor environment such as in buildings. To solve this problem, this research suggests the PDR scheme with an IMU attached to the pedestrian's waist. However, despite the fact many methods have been proposed to estimate the pedestrian's position, but their results are not sufficient. One of the most important factors to improve performance is, a new calibration method that has been proposed to obtain the reliable sensor data. In addition to this calibration, the PDR method is also proposed to detect steps, where estimation schemes of step length, attitude, and heading angles are developed. Peak and zero crossings are detected to count the steps from 3-axis acceleration values. For the estimation of step length, a nonlinear step model is adopted to take advantage of using one parameter. Complementary filter and zero angular velocity are utilized to estimate the attitude of the IMU module and to minimize the heading angle drift. To verify the effectiveness of this scheme, a real-time system is implemented and demonstrated. Experimental results show an accuracy of below 1% and below 3% in distance and position errors, respectively, which can be achievable using a high cost IMU.

Design of a Variable Sampling Rate Tracking Filter for a Phased Array Radar (위상배열 레이다를 위한 가변 표본화 빈도 추적 필터의 설계)

  • Hong, Sun-Mog
    • Journal of Sensor Science and Technology
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    • v.1 no.2
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    • pp.155-163
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    • 1992
  • The phased array antenna has the ability to perform adaptive sampling by directing the radar beam without inertia in any direction. The adaptive sampling capability of the phased array antenna allows each sampling time interval to be varied for each target, depending on the acceleration of each target at any time. In this paper we design a three-dimensional adaptive tracking algorithm for the phased array radar system with a given set of measurement parameters. The tracking algorithm avoids taking unnecessarily frequent samples, while keeping the angular prediction error within a fraction of antenna beamwidth so that the probability of detection will not be degraded during a track update illuminations. In our algorithm, the target model and the sampling rate are selected depending on the target range and the target maneuver status which is determined by a maneuver detector. A detailed simulation is conducted to test the validity of our tracking algorithm for encounter geometries under various conditions of maneuver.

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Development of Multi-Axis Control Program for Long Range AFM Using an FPGA Module (FPGA 모듈을 이용한 Long Range AFM용 다축 제어 프로그램 개발)

  • Lee J.Y.;Eom T.B.;Kim J.W.;Kang C.S.;Kim J.A.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2006.05a
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    • pp.289-290
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    • 2006
  • In general, atomic force microscope (AFM) used for metrological purpose has measuring range less than a few hundred micrometers. We design and fabricate an AFM with long measuring range of $200mm{\times}200mm$ in X and Y axes. The whole stage system is composed of surface plate, global stage, microstage. By combining global stage and microstage, the fine and long movement can be provided. We measure the position of the stage and angular motions of the stage by laser interferometer. A piezoresistive type cantilever is used for compact and long term stability and a flexure structure with PZT and capacitive sensor is used for Z axis feedback control. Since the system is composed of various actuators and sensors, a real time control program is required for the implementation of AFM. Therefore, in this work, we designed a multi-axis control program using a FPGA module, which has various functions such as interferometer signal converting, PID control and data acquisition with triggering. The control program achieves a loop rate more than 500 kHz and will be applied for the measurement of grating pitch and step height.

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Development and Evaluation of a System to Determine Position and Attitudes using In-Vehivle Seonsors (차량 내부 센서를 이용한 위치·자세 결정 시스템 구축 및 평가)

  • Kim, Ho Jun;Choi, Kyuong Ah;Lee, Im Pyeong
    • Spatial Information Research
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    • v.21 no.6
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    • pp.57-67
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    • 2013
  • GPS based car navigation systems show significant problems in such environment as a tunnel, a road surrounded by high buildings. In this study, we thus propose a method to determine positions and attitudes using only in-vehicle sensory data without a GPS. To check the feasibility of this method, we constructed a system to acquire in-vehicle sensory data and reference data simultaneously. We acquired test data using this system, estimated the trajectory based on the proposed method and evaluated the accuracy of both the sensory data and the trajectory. The speed and angular velocities provided by the in-vehicle sensors include 1.1 km/h and 0.8 deg/s RMS errors, respectively. The estimated trajectory using these data shows 20.8 m RMS errors for a 15 minute drive. In future, if we further combine additional sensors such as a camera and a GPS, we can achieve a high accurate navigation system at a low cost without an expensive high-grade external IMU.

A Cartesian Coordinate System to Cover the Korean Peninsula as a Single Coordinate Zone (한반도 전체를 단일 좌표구역으로 하는 통합된 직각좌표체제)

  • 이규성
    • Korean Journal of Remote Sensing
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    • v.8 no.2
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    • pp.93-104
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    • 1992
  • Although the Transverse Mercator(TM) coordinate is used on standard topogrphic maps of Korea as a supplement to regular latitude-longitude coordinate, the use of this TM coordinate system is rather limited to a single coordinate zone that spans only two degrees of longitude. With growing applications of a variety of digiral geographic data, such as satellite remote sensor data, a Cartesian or rectangular coordinate system is more effective to deal with such data type than angular coordinate system. An unified rectangular coordinate system based on the Transverse Mercator projection is designed to cover the whole area of the Korea Peninsula as a single coordinate zone. Considering the width of the peninsula and the distribution of scale error, the origin of the coordinate is determined to 127$^{\circ}$30' east and 38$^{\circ}$ north. Coordinate conversion procedure is discussed along with the corresponding scale error term.

Implementation of Optical Sensor based on Block Surface Wave and Diffraction Grating Profile (Block 표면파와 회절 격자구조에 기초한 광학 센서의 구현)

  • Ho, Kwang-Chun
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.21 no.4
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    • pp.143-148
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    • 2021
  • A systematic study of Bloch surface wave (BSW), which is created by guided mode resonance (GMR) of dielectric multilayer structures with a grating profile, is presented to analyze the sensing performance of bio-sensors. The effect of structural parameters on optical behavior is evaluated by using Babinet's principle and modal transmission-line theory. The sensitivity of designed bio-sensors is proportional to the grating constant at wavelength spectrum, and inversely proportional to the normal wave vector of incident electromagnetic wave at angular spectrum. Numerical results for two devices with SiO/SiO2 and TiO2/SiO2 multilayer dielectric stacks are presented, showing that BSW can be exploited for the realization of efficient diffraction-based bio-sensors from infrared to visible-band range.

Threshold-based Pre-impact Fall Detection and its Validation Using the Real-world Elderly Dataset (임계값 기반 충격 전 낙상검출 및 실제 노인 데이터셋을 사용한 검증)

  • Dongkwon Kim;Seunghee Lee;Bummo Koo;Sumin Yang;Youngho Kim
    • Journal of Biomedical Engineering Research
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    • v.44 no.6
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    • pp.384-391
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    • 2023
  • Among the elderly, fatal injuries and deaths are significantly attributed to falls. Therefore, a pre-impact fall detection system is necessary for injury prevention. In this study, a robust threshold-based algorithm was proposed for pre-impact fall detection, reducing false positives in highly dynamic daily-living movements. The algorithm was validated using public datasets (KFall and FARSEEING) that include the real-world elderly fall. A 6-axis IMU sensor (Movella Dot, Movella, Netherlands) was attached to S2 of 20 healthy adults (aged 22.0±1.9years, height 164.9±5.9cm, weight 61.4±17.1kg) to measure 14 activities of daily living and 11 fall movements at a sampling frequency of 60Hz. A 5Hz low-pass filter was applied to the IMU data to remove high-frequency noise. Sum vector magnitude of acceleration and angular velocity, roll, pitch, and vertical velocity were extracted as feature vector. The proposed algorithm showed an accuracy 98.3%, a sensitivity 100%, a specificity 97.0%, and an average lead-time 311±99ms with our experimental data. When evaluated using the KFall public dataset, an accuracy in adult data improved to 99.5% compared to recent studies, and for the elderly data, a specificity of 100% was achieved. When evaluated using FARSEEING real-world elderly fall data without separate segmentation, it showed a sensitivity of 71.4% (5/7).