• Title/Summary/Keyword: GPS/IMU 통합

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Development of GPS/IMU/SPR Integrated Algorithm and Performance Analysis for Determination of Precise Car Positioning (정밀 차량 위치결정을 위한 GPS/IMU/SPR 통합 알고리즘 개발 및 성능 분석)

  • Han, Joong-Hee;Kang, Beom Yeon;Kwon, Jay Hyoun
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.32 no.2
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    • pp.163-171
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    • 2014
  • Based on the GPS/IMU integration, the car navigation has unstable conditions as well as drastically reduces accuracies in urban region. Nowadays, many cars mounted the camera to record driving states. If the ground coordinates of street furniture are known, the position and attitude of camera can be determined through SPR(Single Photo Resection). Therefore, an estimated position and attitude from SPR can be applied measurements in Kalman filter for updating errors of navigation solutions from GPS/IMU integration. In this study, the GPS/IMU/SPR integration algorithm was developed in loosely coupled modes through extended Kalman filters. Also, in order to analyze performances of GPS/IMU/SPR, simulation tests were conducted in GPS signal reception environments and the GCPs (Ground Control Points) distributions. In fact, the position and attitude gathered from GPS/IMU/SPR integration are more precise than the position and attitude from GPS/IMU integration. When IPs (image points), corresponded to GCPs, were concentrated in the center of image, the position error in the optical axis respectively increased. To understand effects from SPR, we plan to carry additional test on the magnitude of GCP, IP and initial exterior orientation errors.

Study on MEMS based IMU & GPS Performance in Urban Area for Light-Weighted Mobile Mapping Systems (경량 모바일매핑시스템을 위한 도심지 내 MEMS 기반 IMU/GPS 통합센서(MTi-G) 특성 연구)

  • Woo, Hee-Sook;Kwon, Kwang-Seok;Kim, Byung-Guk
    • Journal of Korean Society for Geospatial Information Science
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    • v.20 no.1
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    • pp.65-72
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    • 2012
  • With the development of MEMS, small and low-priced sensors integrating IMU and GPS have produced and exploited for diverse field. In this research, we have judged that MEMS-based IMU/GPS sensor is suitable for light-weighted mobile mapping system and carried out experiments to analyze the characteristics of MTi-G, which was developed from XSens company. From a sensor which fixed to dashboard, coordinates results with no post-processing were achieved for test area. On the whole, the results show satisfactory performances but some errors also were discovered from parts of the road due to sensor properties, XKF characteristics and GPS reception environment. We could confirm the potential of light-weighted mobile mapping system. Experiments considering various GPS reception environments and road condition and more detailed level of accuracy analysis will be performed for further research.

Accuracy Analysis using Assistant Sensor Integration on Various IMU during GPS Signal Blockage (GPS 신호 단절 상황에서 IMU 사양에 따른 보조센서 통합을 이용한 정확도 분석)

  • Lee, Won-Jin;Kwon, Jay-Hyoun;Lee, Jong-Ki;Han, Joong-Hee
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.28 no.1
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    • pp.65-72
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    • 2010
  • In this study, the performances of a medium grade IMU which is aimed for Mobile Mapping System and a low grade IMU for pedestrian navigation are analyzed through simulations under GPS signal blockage. In addition, an analysis on the accuracy improvement of barometer, electronic compass, or multi-sensor(combination of barometer and electronic compass) to correct medium grade or low grade IMU errors in the situation of GPS signal blockage is performed. With the medium grade IMU, the three dimensional positioning error from INS exceeds the demanded accuracy of 5m when the block time is over 30 seconds. When we correct IMU with barometer, compass, or multi-sensor, however, the demanded accuracy is maintained up to 60 seconds. In addition, barometer is more effective than the electronic compass when they are combined. In case of low grade IMU like MEMS IMU, the three dimensional positioning error from INS exceeds the demanded accuracy of 20m when the block time is over 15 seconds. When we correct INS with barometer, compass, or multi-sensor, however, the demanded accuracy is maintained up to 15 seconds in simulation results. On the contrary to medium grade IMU, electronic compass is more effective than the barometer in case of low velocity such as pedestrian navigation. It is expected that the analysis suggested a method to decrease position or attitude error using aided sensor integration when MMS or pedestrian navigation is operated under 1he environment of GPS signal blockage.

Image Georeferencing using AT without GCPs for a UAV-based Low-Cost Multisensor System (UAV 기반 저가 멀티센서시스템을 위한 무기준점 AT를 이용한 영상의 Georeferencing)

  • Choi, Kyoung-Ah;Lee, Im-Pyeong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.27 no.2
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    • pp.249-260
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    • 2009
  • The georeferencing accuracy of the sensory data acquired by an aerial monitoring system heavily depends on the performance of the GPS/IMU mounted on the system. The employment of a high performance but expensive GPS/IMU unit causes to increase the developmental cost of the overall system. In this study, we simulate the images and GPS/IMU data acquired by an UAV-based aerial monitoring system using an inexpensive integrated GPS/IMU of a MEMS type, and perform the image georeferencing by applying the aerial triangulation to the simulated sensory data without any GCP. The image georeferencing results are then analyzed to assess the accuracy of the estimated exterior orientation parameters of the images and ground points coordinates. The analysis indicates that the RMSEs of the exterior orientation parameters and ground point coordinates is significantly decreased by about 90% in comparison with those resulted from the direct georeferencing without the aerial triangulation. From this study, we confirmed the high possibility to develop a low-cost real-time aerial monitoring system.

Performance Analysis of an Integrated Navigation of an Airborne AESA Radar (항공기 탑재 AESA 레이다의 통합 항법 성능 분석 연구)

  • Lee, Dong-Yeon;Kwon, Hyeokjoon;Lee, Donguk;Lee, Haemin;Jung, Youngkwang;Jeong, Jaehyeon;Park, Sanggyu;Lee, Sungwon;Park, June Hyune;Tahk, Min-Jea;Bang, Hyochoong;Ahn, Jaemyung
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.49 no.4
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    • pp.281-290
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    • 2021
  • For successful operations of an airborne Active Electronically-Scanned Array (AESA) radar, which has various advantages over traditional radar systems, accurate and robust navigation is critical. This paper discusses a study on the performance analysis of an integrated navigation based on the Embedded GPS/INS (EGI) system for an aircraft equipped with an AESA radar. The models for generating the inputs for the GPS/IMU are developed. A navigation filter for a loosely-coupled GPS/IMU system is constructed. Overall navigation performance assessment procedure using a six degree of freedom aircraft simulator - along with the GPS/IMU models and the navigation filter - is introduced. The steps of the performance analysis procedure are explained using a comprehensive case study.

GPS/INS Integration and Preliminary Test of GPS/MEMS IMU for Real-time Aerial Monitoring System (실시간 공중 자료획득 시스템을 위한 GPS/MEMS IMU 센서 검증 및 GPS/INS 통합 알고리즘)

  • Lee, Won-Jin;Kwon, Jay-Hyoun;Lee, Jong-Ki;Han, Joong-Hee
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.27 no.2
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    • pp.225-234
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    • 2009
  • Real-time Aerial Monitoring System (RAMS) is to perform the rapid mapping in an emergency situation so that the geoinformation such as orthophoto and/or Digital Elevation Model is constructed in near real time. In this system, the GPS/INS plays an very important role in providing the position as well as the attitude information. Therefore, in this study, the performance of an IMU sensor which is supposed to be installed on board the RAMS is evaluated. And the integration algorithm of GPS/INS are tested with simulated dataset to find out which is more appropriate in real time mapping. According to the static and kinematic results, the sensor shows the position error of 3$\sim$4m and 2$\sim$3m, respectively. Also, it was verified that the sensor performs better on the attitude when the magnetic field sensor are used in the Aerospace mode. In the comparison of EKF and UKF, the overall performances shows not much differences in straight as well as in curved trajectory. However, the calculation time in EKF was appeared about 25 times faster than that of UKF, thus EKF seems to be the better selection in RAMS.

The design of 4s-van for GIS DB construction (GIS DB 구축을 위한 4S-VAN 설계)

  • Lee, Seung-Yong;Kim, Seong-Baek;Lee, Jong-Hun
    • Journal of Korean Society for Geospatial Information Science
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    • v.10 no.3 s.21
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    • pp.89-97
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    • 2002
  • We have developed the 45-Van system in order to maximize the interoperability of spatial data in 45(GNSS, SIIS, GIS, ITS) by sharing and providing spatial data of remote site. The 4S-Van system enables to acquisition and production of information for GIS database and the accurate position information by combining and connecting GPS/IMU, laser, CCD(charged-coupled device) image, and wireless telecommunication technology. That is, 4S-Van system measures its position and attitude using integrated GPS/IMU and takes two photographs of the front scene by two CCD cameras, analyzes position of objects by space intersection method, and constructs database that has compatibility with existing vector database system. Furthermore, infrared camera and wireless communication technique can be applied to the 4S-Van for a variety of applications. In this paper, we discuss the design and functions of 4S-Van that is equipped with GPS, CCD camera, and IMU.

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Acquisition of 3D Spatial Data for Indoor Environment by Integrating Laser Scanner and CCD Sensor with IMU (실내 환경에서의 3차원 공간데이터 취득을 위한 IMU, Laser Scanner, CCD 센서의 통합)

  • Suh, Yong-Cheol;Nagai, Masahiko
    • Journal of the Korean Association of Geographic Information Studies
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    • v.10 no.1
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    • pp.1-9
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    • 2007
  • 3D data are in great demand for pedestrian navigation recently. For pedestrian navigation, we needs to reconstruct 3D model in detail from people's eye. In order to present spatial features in detail for pedestrian navigation, it is indispensable to develop 3D model not only in outdoor environment but also in indoor environment such as underground shopping complex. However, it is very difficult to acquire 3D data efficiently by mobile mapping without GPS. In this research, 3D shape was acquired by Laser scanner, and texture by CCD(Charge Coupled Device) sensor. Continuous changes position and attitude of sensors were measured by IMU(Inertial Measurement Unit). Moreover, IMU was corrected by relative orientation of CCD images without GPS(Global Positioning System). In conclusion, Reliable, quick, and handy method for acquiring 3D data for indoor environment is proposed by a combination of a digital camera and a laser scanner with IMU.

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The Measurement of Road Alignment Using GPS-IMU System (GPS-IMU 통합 시스템을 이용한 도로기하구조 측정에 관한 연구)

  • Park, Jae-Hong;Yun, Duk-Geun;Sung, Jung-Gon;Lee, Jun-Seok
    • Journal of Korean Society of Transportation
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    • v.30 no.5
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    • pp.61-69
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    • 2012
  • It is important for highway maintenance and safety assessment to get the accurate highway geometric information. However, it is difficult to acquire good highway geometric information due to missing blueprints or deteriorated highway sections. This research, to get highway geometric information rapidly, has developed a highway geometric analysis algorithm that uses data from vehicles with GPS-IMU integrated system. In conclusion, the result shows that 3.38% of error-ratio for the horizontal alignment and 0.083 absolute value difference for vertical grade comparing with highway drawings. Therefore, the result suggest that the developed method can be applied to the road safety inspection or road safety audit.

Integration and Synchronization of Multi Sensors for Mobile Mapping System (모바일 매핑시스템을 위한 멀티 센서 통합 및 동기화 구현 방안 연구)

  • Park, Young-Moo;Lee, Jong-Ki;Sung, Jeong-Gon;Kim, Byung-Guk
    • Journal of Korea Spatial Information System Society
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    • v.6 no.1 s.11
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    • pp.51-58
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    • 2004
  • Mobile Mapping System is an effective wav to obtain position and image using vehicle equipped with GPS(Global Positioning System), IMU(Inertial Measurement Unit), and CCD camera. It have been used various fields of load facility management, map upgrade and etc. It is difficult to upgrade Mobile Mopping System which is developed from abroad and add other sensors because we don't know the way to integrate and synchronize multi-sensors. In this paper, we present the effective way of the integration and synchronization method for multi sensors we designed and manufactured Synchronization equipment by considering sensors of laser, odometer and etc.

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