• Title/Summary/Keyword: Mobile GPS

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Design and Implementation of 4S-Van: A Mobile Mapping System

  • Lee, Seung-Yong;Choi, Kyoung-Ho;Joo, In-Hak;Cho, Seong-Ik;Park, Jong-Hyun
    • ETRI Journal
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    • v.28 no.3
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    • pp.265-274
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    • 2006
  • Recent advances in positioning and photogrammetry technologies have made it possible to build a mobile mapping system (MMS) that can obtain 3D coordinates of geographic objects from stereo images recorded from a moving vehicle. In this paper, we present a design and detailed implementation of an MMS called a 4S-Van. Furthermore, we present four issues that have made major contributions to the performance of an MMS: 1) CCD camera calibration, 2) GPS signal condition, 3) integrating a GPS, inertial navigation system (INS), distance measurement indicator (DMI), and CCD cameras, and 4) the orientation angle of CCD cameras. In the experimental results, the performance of an MMS was analyzed for each component, giving an idea of how to effectively design and integrate each component in developing an MMS to get a maximal accuracy of 3D coordinates.

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The Development of Mobile Positioning System Using CCD Cameras and GPS (CCD 사진기와 GPS를 이용한 이동용 위치결정체계 개발)

  • 유복모;최송욱;김기홍
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.16 no.1
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    • pp.41-50
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    • 1998
  • The object positional data in the form of digital imagery is processed and stored and is updated easily. The GPS, positioning system using satellites, is acquired its utilities in many parts because it is very easy to get the three dimensional coordinates using GPS around the world. For the effective acquisition of positional data to-ward objects in space, the automation of digital photogrammetry must be done and data acquisition and processing should be performed in real-time. In this study, the program is developed for automatic process of digital photogrammetry and the VAN that has CCD cameras and GPS receivers onboard is built for mobile positioning system. Also, the three dimensional positioning toward 20 objects which are vertical to the ground is done using left and right imagery of CCD cameras and GPS. For a base research in real-time photogrammetry, the three dimensional positioning is performed using continuous imagery and GPS and the three dimensional positioning accuracy is analyzed.

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A Design of Quad Band Internal Antenna for Hand-Held Mobile Phones (이동통신 단말기용 내장형 4대역안테나 설계)

  • Kang, Seo;Jeong, Yeon-Man;Kim, Gye-Kuk
    • Journal of the Korea Society of Computer and Information
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    • v.12 no.6
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    • pp.213-218
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    • 2007
  • We propose a compact internal quard-band antenna with sufficient impedance bandwidths and gains for the GSM(Global Systems for Mobile), GPS(Global Positing System). DCS(Digital Codeless System), PCS (Personal Communication System) operation. The proposed antenna on a substrate. which is small enough to be installed in practical mobile phones, has heights of only 6mm from the substrate. In addition, the proposed antenna decreases the construction complex on the substrate. The GSM ($880MHz{\sim}960MHz$) GPS(1575MHz) DCS($1710MHz{\sim}1880MHz$). PCS($1750MHz{\sim}1870MHz$) bands. Details of the design and analysis of the proposed antenna are described and the experimental results of the constructed prototype are presented.

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An Efficient Outdoor Localization Method Using Multi-Sensor Fusion for Car-Like Robots (다중 센서 융합을 사용한 자동차형 로봇의 효율적인 실외 지역 위치 추정 방법)

  • Bae, Sang-Hoon;Kim, Byung-Kook
    • Journal of Institute of Control, Robotics and Systems
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    • v.17 no.10
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    • pp.995-1005
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    • 2011
  • An efficient outdoor local localization method is suggested using multi-sensor fusion with MU-EKF (Multi-Update Extended Kalman Filter) for car-like mobile robots. In outdoor environments, where mobile robots are used for explorations or military services, accurate localization with multiple sensors is indispensable. In this paper, multi-sensor fusion outdoor local localization algorithm is proposed, which fuses sensor data from LRF (Laser Range Finder), Encoder, and GPS. First, encoder data is used for the prediction stage of MU-EKF. Then the LRF data obtained by scanning the environment is used to extract objects, and estimates the robot position and orientation by mapping with map objects, as the first update stage of MU-EKF. This estimation is finally fused with GPS as the second update stage of MU-EKF. This MU-EKF algorithm can also fuse more than three sensor data efficiently even with different sensor data sampling periods, and ensures high accuracy in localization. The validity of the proposed algorithm is revealed via experiments.

Development of Image Capture Program for a Mobile Mapping System along CCD Camera Characteristics (차량측량시스템을 위한 영상취득 프로그램 개발)

  • Jeong, Dong-Hoon;Kim, Byung-Guk
    • Journal of Korea Spatial Information System Society
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    • v.4 no.2 s.8
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    • pp.35-40
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    • 2002
  • In this study we developed a CCD camera image capture program for Mobile Mapping System. Especially, two high resolution color images could be captured and saved simultaneously through this program to apply digital photogrammetry. Program developed in this study could be used more effectively on the 3D positioning of road facilities, the state understanding of maintenance and etc. using Mobile Mapping System with GPS-IMU. Most programs currently developed and used are for the panchromatic images. But, newly developed program is for the high resolution color images. Therefore newly developed program could expand application field of Mobile Mapping System widely, and users. This research can improve the usability of 4S' products with stable and reliable.

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TWR based Cooperative Localization of Multiple Mobile Robots for Search and Rescue Application (재난 구조용 다중 로봇을 위한 GNSS 음영지역에서의 TWR 기반 협업 측위 기술)

  • Lee, Chang-Eun;Sung, Tae-Kyung
    • The Journal of Korea Robotics Society
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    • v.11 no.3
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    • pp.127-132
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    • 2016
  • For a practical mobile robot team such as carrying out a search and rescue mission in a disaster area, the localization have to be guaranteed even in an environment where the network infrastructure is destroyed or a global positioning system (GPS) is unavailable. The proposed architecture supports localizing robots seamlessly by finding their relative locations while moving from a global outdoor environment to a local indoor position. The proposed schemes use a cooperative positioning system (CPS) based on the two-way ranging (TWR) technique. In the proposed TWR-based CPS, each non-localized mobile robot act as tag, and finds its position using bilateral range measurements of all localized mobile robots. The localized mobile robots act as anchors, and support the localization of mobile robots in the GPS-shadow region such as an indoor environment. As a tag localizes its position with anchors, the position error of the anchor propagates to the tag, and the position error of the tag accumulates the position errors of the anchor. To minimize the effect of error propagation, this paper suggests the new scheme of full-mesh based CPS for improving the position accuracy. The proposed schemes assuring localization were validated through experiment results.

Changes in Measuring Methods of Walking Behavior and the Potentials of Mobile Big Data in Recent Walkability Researches (보행행태조사방법론의 변화와 모바일 빅데이터의 가능성 진단 연구 - 보행환경 분석연구 최근 사례를 중심으로 -)

  • Kim, Hyunju;Park, So-Hyun;Lee, Sunjae
    • Journal of the Architectural Institute of Korea Planning & Design
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    • v.35 no.1
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    • pp.19-28
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    • 2019
  • The purpose of this study is to evaluate the walking behavior analysis methodology used in the previous studies, paying attention to the demand for empirical data collecting for urban and neighborhood planning. The preceding researches are divided into (1)Recording, (2) Surveys, (3)Statistical data, (4)Global positioning system (GPS) devices, and (5)Mobile Big Data analysis. Next, we analyze the precedent research and identify the changes of the walkability research. (1)being required empirical data on the actual walking and moving patterns of people, (2)beginning to be measured micro-walking behaviors such as actual route, walking facilities, detour, walking area. In addition, according to the trend of research, it is analyzed that the use of GPS device and the mobile big data are newly emerged. Finally, we analyze pedestrian data based on mobile big data in terms of 'application' and distinguishing it from existing survey methodology. We present the possibility of mobile big data. (1)Improvement of human, temporal and spatial constraints of data collection, (2)Improvement of inaccuracy of collected data, (3)Improvement of subjective intervention in data collection and preprocessing, (4)Expandability of walking environment research.

Mathematical Algorithms for Two-Dimensional Positioning Based on GPS Pseudorange Technique

  • Ko, Kwang-Soob;Choi, Chang-Mook
    • Journal of information and communication convergence engineering
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    • v.8 no.5
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    • pp.602-607
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    • 2010
  • Recently, one has realized that the threedimensional positioning technique used in GPS can be effectively applied to the modern two-dimensional positioning. Such a technique might has applied to the twodimensional positioning in fields of the mobile communication, eLORAN and the GPS jamming/ electronic warfare system. In the paper, we have studied on algorithms for two-dimensional positioning based on GPS Pseudorange Technique. The main works and results are summarized below. First, the linearized state equation was mathematically derived based on GPS pseudorange technique. Second, the geometry model with respect to triangles formed using unit-vectors were proposed for investigation of land-based radio positioning. Finally, the corresponding mathematical formulations for DOP values and covariance matrix were designed for two-dimensional positioning.