• 제목/요약/키워드: Positioning detection

검색결과 281건 처리시간 0.026초

Wi-Fi 신호를 사용하지 않고 보행자 궤적과 건물내 지도 특성만을 이용한 스마트폰 실내 위치 측정 시스템 (Step Trajectory/Indoor Map Feature-based Smartphone Indoor Positioning System without Using Wi-Fi Signals)

  • 라동준;최권휴
    • 대한임베디드공학회논문지
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    • 제9권6호
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    • pp.323-334
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    • 2014
  • In this paper, we proposed indoor positioning system with improved accuracy. The proposed indoor location measurement system is based pedestrian location measurement method that use the embedded sensor of smartphone. So, we do not need wireless external resources, such as GPS or WiFi signals. The conventional methods measure indoor location by generating a movement route of pedestrian by step and direction recognition. In this paper, to correct the direction sensor error, we use the common feature of the normal indoor floor map that the indoor path is lattice-structured. And we quantize moving directions depending on the direction of indoor path. In addition, we propose moving direction measuring method using geomagnetic sensor and gyro sensor to improve the accuracy. Also, the proposed step detection method uses angle and accelerometer sensors. The proposed step detection method is not affected by the posture of the smartphone. Direction errors caused by direction sensor error is corrected due to proposed moving direction measuring method. The proposed location error correction method corrects location error caused by step detection error without the need for external wireless signal resources.

유중 부분방전의 음향검출에 관한 연구 (A Study on the Acoustic Detection of Partial Discharges in Insulation Oil)

  • 길경석;김성욱;박대원;김선재;송재만
    • 한국전기전자재료학회논문지
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    • 제23권1호
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    • pp.53-60
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    • 2010
  • This paper dealt with the acoustic detection of partial discharge (PD) in insulation oil for insulation diagnostics of oil immersed transformers. Electrode systems such as needle to plane, plane to plane, and floating were fabricated to simulate some defects in transformers. A wide band acoustic emission(AE) sensor with the frequency ranges of 100 kHz~1 MHz and a narrow band AE sensor with the resonant frequency of 140 kHz were used in the experiment. Also, a decoupler and an amplifier were designed to detect and amplify the acoustic signal only. The decoupler separates acoustic signal from DC source without any distortion, and the amplifier has the gain of 40 dB in frequency ranges of 11 kHz~4 MHz. In the experiment, frequency components and propagation characteristics of acoustic signal were analyzed, and an algorithm of positioning of PD occurrence by the time difference of arrival was proposed. From the results, the frequency components of the acoustic signal exist from 50 kHz to 200 kHz and the positioning error of PD calculated by three AE sensors was within 1%.

Hot Spot Detection of Thermal Infrared Image of Photovoltaic Power Station Based on Multi-Task Fusion

  • Xu Han;Xianhao Wang;Chong Chen;Gong Li;Changhao Piao
    • Journal of Information Processing Systems
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    • 제19권6호
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    • pp.791-802
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    • 2023
  • The manual inspection of photovoltaic (PV) panels to meet the requirements of inspection work for large-scale PV power plants is challenging. We present a hot spot detection and positioning method to detect hot spots in batches and locate their latitudes and longitudes. First, a network based on the YOLOv3 architecture was utilized to identify hot spots. The innovation is to modify the RU_1 unit in the YOLOv3 model for hot spot detection in the far field of view and add a neural network residual unit for fusion. In addition, because of the misidentification problem in the infrared images of the solar PV panels, the DeepLab v3+ model was adopted to segment the PV panels to filter out the misidentification caused by bright spots on the ground. Finally, the latitude and longitude of the hot spot are calculated according to the geometric positioning method utilizing known information such as the drone's yaw angle, shooting height, and lens field-of-view. The experimental results indicate that the hot spot recognition rate accuracy is above 98%. When keeping the drone 25 m off the ground, the hot spot positioning error is at the decimeter level.

차량 환경에서 GPS 반송파 기반 위치 결정을 위한 반송파 불연속 측정치 검출에 대한 연구 (A Study on the Cycle-slip Detection for GPS Carrier-phase based Positioning of Land Vehicle)

  • 김연실;송준솔;윤호;기창돈
    • 한국항행학회논문지
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    • 제17권6호
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    • pp.593-599
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    • 2013
  • 본 논문은 차량 환경에서 GPS 반송파 기반 위치 결정을 위한 반송파 불연속 측정치 검출에 대한 내용을 다룬다. 반송파 기반 위치 결정 방식에 있어서 위치 정확도의 신뢰도를 확보하기 위해서는 반송파 불연속 측정치를 검출해야 한다. 반송파 불연속 측정치를 검출하는 방식에는 여러 연구가 있지만 본 연구에서는 차분된 반송파 측정치와 저가의 관성센서를 이용해 추정한 차분된 반송파의 차이를 모니터링 값으로 설정함으로써 GPS 불연속 측정치를 검출한다. 저가의 불연속 측정치 검출 알고리즘을 개발하는 것을 목표로 설계된 불연속 측정치 검출 성능 만족을 위한 관성센서 성능 범위를 도출한다. 이를 통해 적절한 가격과 성능의 관성센서 선택이 가능하다. 선정된 관성센서가 설계치를 만족하는지를 검증하기 위하여 회전 테이블 실험을 진행하였다. 결과적으로 실험치가 설계된 불연속 측정치 검출 성능을 보수적으로 만족하는 검출 성능을 보였다.

LoRa WAN 통신 기반의 선박 내/외부 승선자 측위 및 위험상황 감지 시스템 (Measuring Inner or Outer Position of Ship Passenger and Detection of Dangerous Situations based LoRa WAN Communication)

  • 박석현;박문수
    • 한국멀티미디어학회논문지
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    • 제23권2호
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    • pp.282-292
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    • 2020
  • In order to minimize casualties from marine vessel accidents that occur frequently at home and abroad, it is important to ensure the safety of the passengers aboard the vessel in the event of an accident. There is an EPIRB system as a system for disaster preparedness in the marine situation currently on the market, but there is a problem that the price is very expensive. In order to overcome the cost problem, which is a disadvantage of previous system, LoRaWAN-based communication is used. LoRaWAN communication-based vessel positioning and risk detection system based on LoRaWAN communication transmits measurement data of each module using two Beacon and GPS modules to stably perform position measurement for both indoor and outdoor situations. The rider danger situation detection system can detect the safety status of the rider using the 3-axis acceleration sensor, collect data from the rider positioning system and the rider safety status detection system, and send to server using LoRa communication. When conducting communication experiments in the long-distance maritime situation and actual communication experiments using the implemented system, it was found that the two experiments showed over 90% communication success rate on average.

Development of Image-based Assistant Algorithm for Vehicle Positioning by Detecting Road Facilities

  • Jung, Jinwoo;Kwon, Jay Hyoun;Lee, Yong
    • 한국측량학회지
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    • 제35권5호
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    • pp.339-348
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    • 2017
  • Due to recent improvements in computer processing speed and image processing technology, researches are being actively carried out to combine information from a camera with existing GNSS (Global Navigation Satellite System) and dead reckoning. In this study, the mathematical model based on SPR (Single Photo Resection) is derived for image-based assistant algorithm for vehicle positioning. Simulation test is performed to analyze factors affecting SPR. In addition, GNSS/on-board vehicle sensor/image based positioning algorithm is developed by combining image-based positioning algorithm with existing positioning algorithm. The performance of the integrated algorithm is evaluated by the actual driving test and landmark's position data, which is required to perform SPR, based on simulation. The precision of the horizontal position error is 1.79m in the case of the existing positioning algorithm, and that of the integrated positioning algorithm is 0.12m at the points where SPR is performed. In future research, it is necessary to develop an optimized algorithm based on the actual landmark's position data.

철도차량용 열차정밀측위장치 개발 연구 (Study on Development of Train-born Positioning System)

  • 신경호;신덕호;이강미;이재호
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2011년도 춘계학술대회 논문집
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    • pp.343-349
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    • 2011
  • Now, for the continuous location detection of train, the method that the moving distance of a vehicle is detected using an wheel sensor(odometer) mounted within a train, is generally used. It has a problem that the positioning errors of a train can be accumulated as the moving distance increases. To solve this problem, it is required to apply a variety of positioning sensors and to integrate with sensor data. In this paper, we develop the train-borne positioning system applicable to the conventional railway and high-speed railway, and verify the performance of the train-borne positioning system through a vehicle test.

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비전 기반 고정밀 차량 측위 기술 (Vision-Based High Accuracy Vehicle Positioning Technology)

  • 조상일;이재성
    • 한국통신학회논문지
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    • 제41권12호
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    • pp.1950-1958
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    • 2016
  • 최근 활발히 연구되고 있는 차세대 지능형교통시스템(C-ITS), 자율주행 자동차 등 교통관련 IT기술 분야에 있어 차량의 위치를 정밀하게 측정하는 기술은 매우 중요하다. 도로위의 차량 측위를 위한 기술은 GPS 가 대표적이나 도심지로 가면 주위에 고층건물이 많아 GPS 신호가 반사되어 심한 경우는 2~300 m의 오차가 발생할 정도로 정확도가 매우 떨어진다. 따라서 본 논문에서는 비전기반의 고정밀 차량측위 기술을 제안한다. 개략적인 처리과정은 고정된 카메라로부터 입력받은 영상 속에 관심 영역을 설정한 후 영역 내 차량 객체 검출(Vehicle Detection)을 수행하여 객체가 점유하는 도로영역을 계산, 미리 정의된 Homography변환행렬을 이용하여 지도영상으로 사용할 항공시점(Aerial View) 상의 점들로 변환하여 측위를 수행한다. 측위성능분석결과 평균적으로 약 20cm이내의 높은 정확도를 가지고 있으며 최대 오차역시 44.72cm를 넘지 않았다. 또한 $22-25_{FPS}$ 의 빠른 처리로 실시간 측위가 가능함을 확인하였다.

지진 및 지각변동 감지를 위한 정밀절대측위 솔루션 개발 (Development of Precise Point Positioning Solution for Detection of Earthquake and Crustal Movement)

  • 박준규;김민규
    • 한국산학기술학회논문지
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    • 제14권9호
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    • pp.4587-4592
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    • 2013
  • GPS는 측량, 지도제작 및 항법 이외에도 고정밀 측위에 의한 세계기준좌표계 설정, 지구 자전축의 회전계수 결정, 지진 및 지각변동 감지 등과 같은 지구과학 분야의 필수적인 방법으로 인식되고 있다. 그러나 정밀 해석결과를 얻기 위해서는 자료처리를 위한 전문지식과 비용 투자가 필요하므로, 사용자들이 손쉽게 결과를 획득할 수 있는 방안이 필요하다. 이에 본 연구에서는 비전문가도 정밀절대측위 방법으로 GPS 자료처리가 가능한 정밀절대측위 솔루션을 개발하고자 하였다. 연구를 통해 자료처리에 필요한 최소 정보만을 입력함으로써 사용자의 편의성을 크게 향상시킨 솔루션을 개발하였다. 또한 국토지리정보원에서 제공하는 위성기준점의 관측자료를 정밀절대측위로 처리하여, 지각변동 속도를 산출하고, ITRF에서 제공하는 지각변동 속도와 비교를 통해 정밀절대측위 솔루션을 이용한 지진 및 지각변동 감지가 가능함을 제시하였다.

Development of an Autonomous Navigation System for Unmanned Ground Vehicle

  • Kim, Yoon-Gu;Lee, Ki-Dong
    • 대한임베디드공학회논문지
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    • 제3권4호
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    • pp.244-250
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    • 2008
  • This paper describes the design and implementation of an unmanned ground vehicle (UGV) and also estimates how well autonomous navigation and remote control of UGV can be performed through the optimized arbitration of several sensor data, which are acquired from vision, obstacle detection, positioning system, etc. For the autonomous navigation, lane detection and tracing, global positioning, and obstacle avoidance are necessarily required. In addition, for the remote control, two types of experimental environments are established. One is to use a commercial racing wheel module, and the other is to use a haptic device that is useful for a user application based on virtual reality. Experimental results show that autonomous navigation and remote control of the designed UGV can be achieved with more effectiveness and accuracy using the proper arbitration of sensor data and navigation plan.

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