• Title/Summary/Keyword: Indoor GPS

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Localization Algorithm for a Mobile Robot using iGS (iGS를 이용한 모바일 로봇의 실내위치추정 알고리즘)

  • Seo, Dae-Geun;Cho, Sung-Ho;Lee, Jang-Myung
    • Journal of Institute of Control, Robotics and Systems
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    • v.14 no.3
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    • pp.242-247
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    • 2008
  • As an absolute positioning system, iGS is designed based on ultrasonic signals whose speed can be formulated clearly in terms of time and room temperature, which is utilized for a mobile robot localization. The iGS is composed of an RFID receiver and an ultra-sonic transmitter, where an RFID is designated to synchronize the transmitter and receiver of the ultrasonic signal. The traveling time of the ultrasonic signal has been used to calculate the distance between the iGS system and a beacon which is located at a pre-determined location. This paper suggests an effective operation method of iGS to estimate position of the mobile robot working in unstructured environment. To expand recognition range and to improve accuracy of the system, two strategies are proposed: utilization of beacons belonging to neighboring blocks and removal of the environment-reflected ultrasonic signals. As the results, the ubiquitous localization system based on iGS as a pseudo-satellite system has been developed successfully with a low cost, a high update rate, and relatively high precision.

Drone Indoor position recognition and hovering technology based on optical flow for Finger printing (BLE Finger printing 연계를 위한 optical flow기반 Drone 실내 위치인식 및 호버링)

  • Lee, Joon beom;Lee, Dohee;Seo, Hyo-seung;Jo, Ju-yeon;Son, Bong-ki;Lee, Jae ho
    • Proceedings of the Korea Information Processing Society Conference
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    • 2016.04a
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    • pp.86-87
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    • 2016
  • 본 논문에서는 optical flow sensor를 이용하여 실내의 바닥 영상인식를 통한 영상처리기법을 이용해 움직임 없는 hovering을 할 수 있는 방법을 제안한다. 또한 optical flow와 BLE finger printing 기법을 혼합해 위치 인식 정밀도를 높일 수 있다. 본 고에서는 optical flow sensor와 BLE finger printing의 두 기술을 혼합하면 드론 스스로 실내에서 정밀도 높은 위치인식이 가능 하며 실외에서만 사용할 수 있는 GPS 비행모드를 대신 할 수 있어 실내에서 자동 경로 비행이 가능하게 하고 위치 안내, 실내 방송촬영, 이동식 CCTV등 질 높은 서비스를 제공하고자 한다.

Indoor position finder using Wi-Fi (Wi-Fi를 이용한 실내 위치 측정)

  • Park, Jong-Hyun;Kim, Seong-Guk;Oh, Hee-Su;Lee, Sang-Hee;Lee, Seong-Yeul;Hwang, Young-Sup
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.10a
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    • pp.362-365
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    • 2015
  • 우리나라는 현재 코엑스, 백화점 같은 대형 건물들이 늘어나고 있다. 대형 건물은 실내 구조가 복잡해서 방문하는 사람들이 원하는 길을 찾기 어렵다. 기존 실외에서 길을 찾아주는 네비게이션의 발달은 단말기와 스마트폰의 발달과 함께 성장하였고, 모든 사람들이 사용할 수 있는 대중적인 서비스다. 하지만 기존 네비게이션에 위치 측정 방법인 위성 GPS신호는 실내에서는 사용이 불가해 실내 위치 측정을 위해 Wi-Fi, Beacon, Magnetic Field등 다른 기술을 사용하여 실내 위치 측정을 해야 한다. 그중에서도 이미 설치되어 있는 것을 사용하기 위해 Wi-Fi의 신호 값인 RSS값을 활용하였고, 일정하지 앉은 RSS값을 Kalman Filter와 EH Filter로 보정하여 정확한 실내 위치 측정이 된다는 것을 실험을 통해 보였다.

An Ultrasonic Wave Encoder and Decoder for Indoor Positioning of Mobile Marketing System

  • Kim, Young-Mo;Jang, Se-Young;Park, Byeong-Chan;Bang, Kyung-Sik;Kim, Seok-Yoon
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.7
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    • pp.93-100
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    • 2019
  • In this paper, we propose an intelligent marketing service system that can provide custom advertisements and events to both businesses and customers by identifying the location and contents using the ultrasonic signals and feature information in voice signals. We also develop the encoding and decoding algorithm of ultrasonic signals for this system and analyze the performance evaluation results. With the development of the hyper-connected society, the on-line marketing has been activated and is growing in size. Existing store marketing applications have disadvantages that customers have to find out events or promotional materials that the headquarters or stores throughusing the corresponding applications whenever they visit them. To solve these problems, there are attempts to create intelligent marketing tools using GPS technology and voice recognition technology. However, this approach has difficulties in technology development due to accuracy of location and speed of comparison and retrieval of voice recognition technology, and marketing services for customer relation are also much simplified.

A Positioning Method based on IPS using High Level Signals (고준위 신호를 활용한 IPS 기반 측위 방법)

  • Han, Chang-su;Yi, Hyoun-sup;Jang, Si-Woong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.47-49
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    • 2022
  • IPS is an indoor positioning system that replaces GPS, which is less accurate due to walls and roofs inside buildings. Radio signals such as Wi-Fi are used instead of satellite signals, and complex methods are being used to increase accuracy. In this paper, we present a more efficient positioning method than before by applying high-level signals to high-accuracy fingerprint techniques. A radio map is configured with high-level signals collected by utilizing Wi-Fi APs, which are more than in the past. The suitability of use was confirmed by analyzing the pattern represented by the configured radio map for each location.

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Mobile Camera-Based Positioning Method by Applying Landmark Corner Extraction (랜드마크 코너 추출을 적용한 모바일 카메라 기반 위치결정 기법)

  • Yoo Jin Lee;Wansang Yoon;Sooahm Rhee
    • Korean Journal of Remote Sensing
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    • v.39 no.6_1
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    • pp.1309-1320
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    • 2023
  • The technological development and popularization of mobile devices have developed so that users can check their location anywhere and use the Internet. However, in the case of indoors, the Internet can be used smoothly, but the global positioning system (GPS) function is difficult to use. There is an increasing need to provide real-time location information in shaded areas where GPS is not received, such as department stores, museums, conference halls, schools, and tunnels, which are indoor public places. Accordingly, research on the recent indoor positioning technology based on light detection and ranging (LiDAR) equipment is increasing to build a landmark database. Focusing on the accessibility of building a landmark database, this study attempted to develop a technique for estimating the user's location by using a single image taken of a landmark based on a mobile device and the landmark database information constructed in advance. First, a landmark database was constructed. In order to estimate the user's location only with the mobile image photographing the landmark, it is essential to detect the landmark from the mobile image, and to acquire the ground coordinates of the points with fixed characteristics from the detected landmark. In the second step, by applying the bag of words (BoW) image search technology, the landmark photographed by the mobile image among the landmark database was searched up to a similar 4th place. In the third step, one of the four candidate landmarks searched through the scale invariant feature transform (SIFT) feature point extraction technique and Homography random sample consensus(RANSAC) was selected, and at this time, filtering was performed once more based on the number of matching points through threshold setting. In the fourth step, the landmark image was projected onto the mobile image through the Homography matrix between the corresponding landmark and the mobile image to detect the area of the landmark and the corner. Finally, the user's location was estimated through the location estimation technique. As a result of analyzing the performance of the technology, the landmark search performance was measured to be about 86%. As a result of comparing the location estimation result with the user's actual ground coordinate, it was confirmed that it had a horizontal location accuracy of about 0.56 m, and it was confirmed that the user's location could be estimated with a mobile image by constructing a landmark database without separate expensive equipment.

Real-time Reefer Container Monitoring System based on IoT (IoT 기반 실시간 냉장컨테이너 상태 모니터링 시스템)

  • Moon, Young-Sik;Jung, Jun-Woo;Choi, Sung-Pill;Kim, Tae-Hoon;Lee, Byung-Ha;Kim, Jae-Joong;Choi, Hyung-Lim
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.3
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    • pp.629-635
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    • 2015
  • In this paper, we propose the reefer container monitoring system that not only monitors internal temperature, humidity of reefer container but also tracks the real-time location using GPS. It consists of a tag of information of situation using 433MHz RF transmitter(communication), GPS to track the real-time location and a device using WCDMA/GSM communication to transmit information to the server. We tested by applying the proposed system in reefer containers with yellow melons, melons transported from Korea to Singapore to track the location and check the temperature and the humidity. The result of this test is that there is a temperature difference around 1.7 degree depending on the position of inside of container and maintains the humidity stably about 97%. If we apply this proposed system to agricultural marketing, it is possible to get the time that fruits start to decay and minimize the loss of fruits by decaying during shipping.

Implementation of Constructor-Oriented Visualization System for Occluded Construction via Mobile Augmented-Reality (모바일 증강현실을 이용한 작업자 중심의 폐색된 건축물 시각화 시스템 개발)

  • Kim, Tae-Ho;Kim, Kyung-Ho;Han, Yunsang;Lee, Seok-Han;Choi, Jong-Soo
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.2
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    • pp.55-68
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    • 2014
  • Some infrastructure these days is usually constructed under the ground for it to not interfere the foot-traffic of pedestrians, and thus, it is difficult to visually confirm the accurate location of the site where the establishments must be buried. These technical difficulties increase the magnitude of the problems that could arise from over-reliance on the experience of the worker or a mere blueprint. Such problems include exposure to flood and collapse. This paper proposes a constructor-oriented visualization system via mobile gadgets in general construction sites with occluded structures. This proposal is consisted with three stages. First, "Stage of detecting manhole and extracting features" detects and extracts the basis point of occluded structures which is unoccluded manhole. Next, "Stage of tracking features" tracks down the extracted features in the previous stage. Lastly, "Stage of visualizing occluded constructions" analyzes and synthesizes the GPS data and 3D objects obtained from mobile gadgets in the previous stages. This proposal implemented ideal method through parallel analysis of manhole detection, feature extraction, and tracking techniques in indoor environment, and confirmed the possibility through occluded water-pipe augmentation in real environment. Also, it offers a practical constructor-oriented environment derived from the augmented 3D results of occluded water-pipings.

VLC Based Positioning Scheme in Vehicle-to-Infra(V2I) Environment (차량-인프라간 가시광 통신 기반 측위 기술)

  • Kim, Byung Wook;Song, Deok-Weon;Lee, Ji-Hwan;Jung, Sung-Yoon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.3
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    • pp.588-594
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    • 2015
  • Although GPS technology for location positioning system has been widely used, it is difficult to be used in intelligent transport systems, due to the large positioning error and limited area for receiving radio signals. Thanks to the rapid development of LED technology, LED lights become popular in many applications. Especially, visible light communications (VLC) has raised a lot of interests because of the simultaneous functioning of LED illumination and communication. Recent studies on positioning system using VLC mainly focused on indoor environments and still difficult to satisfy positioning accuracy and simple implementation simultaneously. In this paper, we propose a positioning system based on VLC using the coordinate information of LEDs installed on the road infrastructure. Extracting the LED signal, obtained through VLC, from the easily accessible camera image, it is possible to estimate the position of the car on the road. Simulation results show that the proposed scheme can achieve a high positioning accuracy of 1 m when large number of pixels is utilized and the distance from the LED light is close.

Location Estimation System based on Majority Sampling Data (머저리티 샘플링 데이터 기반 위치 추정시스템)

  • Park, Geon-Yeong;Jeon, Min-Ho;Oh, Chang-Heon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.10
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    • pp.2523-2529
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    • 2014
  • Location estimation service can be provided outdoors using various location estimation system based on GPS. However, location estimation system is based on existing indoor resources as GPS cannot be used because of insufficient visible satellites and weak signals. The fingerprinting technique that uses WLAN signal, in particular, is good to use indoors because it uses RSSI provided by AP to estimate location. However, its accuracy may vary depending on how accurate data the offline stage used where the fingerprinting map is built. The study sampled various data at the stage that builds the fingerprinting map and suggested a location estimation system that enhances its precision by saving the data of high frequency among them to improve this problem. The suggested location estimation system based on majority sampling data estimates location by filtering RSSI data of the highest frequency at the client and server to be saved at a map, building the map and measuring a similar distance. As a result of the test, the location estimation precision stood at minimum 87.5 % and maximum 90.4% with the margin of error at minimum 0.25 to 2.72m.