• 제목/요약/키워드: Indoor navigation

검색결과 338건 처리시간 0.03초

Commercial Indoor Navigation System Technology Movement

  • Seo, Jae-Min;Jang, Beakcheol
    • 한국컴퓨터정보학회논문지
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    • 제22권1호
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    • pp.33-40
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    • 2017
  • In this paper, we introduce commercial indoor navigation systems being deployed and serviced in many fields of industry focusing on their indoor positioning technologies. Indoor positioning technology is a technology that locates people or targets in the interior of a building. To do that, it utilizes radio waves such as WiFi, and bluetooth, magnetic fields, or other sensory information from smart phones. We present indoor navigation systems categorizing them into their indoor positioning technologies. We define important performance issues for indoor positioning technologies and analyze them according to the performance issues. We believe that this paper provide wise view and necessary information for recent indoor navigation systems.

Development of Augmented Reality Indoor Navigation System based on Enhanced A* Algorithm

  • Yao, Dexiang;Park, Dong-Won;An, Syung-Og;Kim, Soo Kyun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권9호
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    • pp.4606-4623
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    • 2019
  • Nowadays modern cities develop in a very rapid speed. Buildings become larger than ever and the interior structures of the buildings are even more complex. This drives a high demand for precise and accurate indoor navigation systems. Although the existing commercially available 2D indoor navigation system can help users quickly find the best path to their destination, it does not intuitively guide users to their destination. In contrast, an indoor navigation system combined with augmented reality technology can efficiently guide the user to the destination in real time. Such practical applications still have various problems like position accuracy, position drift, and calculation delay, which causes errors in the navigation route and result in navigation failure. During the navigation process, the large computation load and frequent correction of the displayed paths can be a huge burden for the terminal device. Therefore, the navigation algorithm and navigation logic need to be improved in the practical applications. This paper proposes an improved navigation algorithm and navigation logic to solve the problems, creating a more accurate and effective augmented reality indoor navigation system.

Line of Sight Vector Estimation using UWB for Augmented Reality Based Indoor Location Monitoring System

  • Chun, Sebum;Seo, Jae-Hee;Lee, Sangwoo;Heo, Moon-Beom
    • Journal of Positioning, Navigation, and Timing
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    • 제5권3호
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    • pp.145-156
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    • 2016
  • A variety of methods for indoor positioning systems have been underway to ensure the safety of emergency rescuers who are working in dangerous situations such as fire fighters. However, since most systems display locations of rescue workers in two-dimension (2D)-based maps, it is difficult for a commander located in the outside to recognize locations of rescuers inside the building intuitively. An augmented reality (AR)-based indoor positioning monitoring system can display locations of rescuer inside the building that can be seen by commanders to help intuitive recognition of positioning. To monitor AR-based indoor positioning, it is necessary to have an estimation technique of line of sight vector of observers. In the present study, an estimation technique of a line of sight vector using ultra-wide band tranceiver installed inside the indoor to trace locations is presented.

모바일로봇의 정밀 실내주행을 위한 개선된 ORB-SLAM 알고리즘 (Modified ORB-SLAM Algorithm for Precise Indoor Navigation of a Mobile Robot)

  • 옥용진;강호선;이장명
    • 로봇학회논문지
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    • 제15권3호
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    • pp.205-211
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    • 2020
  • In this paper, we propose a modified ORB-SLAM (Oriented FAST and Rotated BRIEF Simultaneous Localization And Mapping) for precise indoor navigation of a mobile robot. The exact posture and position estimation by the ORB-SLAM is not possible all the times for the indoor navigation of a mobile robot when there are not enough features in the environment. To overcome this shortcoming, additional IMU (Inertial Measurement Unit) and encoder sensors were installed and utilized to calibrate the ORB-SLAM. By fusing the global information acquired by the SLAM and the dynamic local location information of the IMU and the encoder sensors, the mobile robot can be obtained the precise navigation information in the indoor environment with few feature points. The superiority of the modified ORB-SLAM was verified to compared with the conventional algorithm by the real experiments of a mobile robot navigation in a corridor environment.

FT-IndoorNavi: 토폴로지 분석 및 실내 경로 네트워크 분석에 기반한 실내 네비게이션을 위한 유연한 네비게이션 알고리즘 (FT-Indoornavi: A Flexible Navigation Method Based on Topology Analysis and Room Internal Path Networks for Indoor Navigation)

  • 주건;이연;이순조;배해영
    • Spatial Information Research
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    • 제21권2호
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    • pp.1-9
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    • 2013
  • 최근 이동통신 기술의 발전으로 실내에서의 위치 획득 기술이 용이해지면서 실내 내비게이션 시스템에 대한 연구가 각광을 받고 있다. 최적화된 실내 내비게이션은 크고 복잡한 실내에서의 활동을 위해 빠른 경로를 제공한다. 그러나 기존의 실내 내비게이션 알고리즘 연구들에서는 공간 토폴로지 또는 실내 네트워크에 기반하여 대략적인 경로를 도출한다. 본 논문에서는 공간 토폴로지 분석과 실내 내트워크를 통합 분석하여 실내 경로를 계산하는 알고리즘을 제안한다. 제안 알고리즘은 전문적인 실내지도가 아닌 간소화된 실내 지도 데이터를 활용하여 실내 네트워크와 공간 토폴로지의 혼합 분석을 통해 실내 경로의 길이를 줄일 수 있다. 성능평가를 통해 FT-Indoornavi 알고리즘이 기존의 엘라스틱 알고리즘과 iNav 알고리즘보다 더 빨리 실내 경로를 계산할 수 있음을 보여준다.

Pseudolite/Ultra-low-cost IMU Integrated Robust Indoor Navigation System Through Real-time Cycle Slip Detection and Compensation

  • Kim, Moon Ki;Kim, O-Jong;Kim, Youn Sil;Jeon, Sang Hoon;No, Hee Kwon;Shin, Beom Ju;Kim, Jung Beom;Kee, Changdon
    • Journal of Positioning, Navigation, and Timing
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    • 제6권4호
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    • pp.181-194
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    • 2017
  • In recent years, research has been actively conducted on the navigation in an indoor environment where Global Navigation Satellite System signals are unavailable. Among them, a study performed indoor navigation by integrating pseudolite carrier and Inertial Measurement Unit (IMU) sensor. However, in this case, there was no solution for the cycle slip occurring in the carrier. In another study, cycle slip detection and compensation were performed by integrating Global Positioning System (GPS) and IMU in an outdoor environment. However, in an indoor environment, cycle slip occurs more easily and frequently, and thus the occurrence of half cycle slip also increases. Accordingly, cycle slip detection based on 1 cycle unit has limitations. Therefore, in the present study, the aforementioned problems were resolved by performing indoor navigation through the integration of pseudolite and ultra-low-cost IMU embedded in a smartphone and by performing half cycle slip detection and compensation based on this. In addition, it was verified through the actual implementation of real-time navigation.

Optimization-based humanoid robot navigation using monocular camera within indoor environment

  • Han, Young-Joong;Kim, In-Seok;Hong, Young-Dae
    • ETRI Journal
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    • 제40권4호
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    • pp.446-457
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    • 2018
  • Robot navigation allows robot mobility. Therefore, mobility is an area of robotics that has been actively investigated since robots were first developed. In recent years, interest in personal service robots for homes and public facilities has increased. As a result, robot navigation within the home environment, which is an indoor environment, is being actively investigated. However, the problem with conventional navigation algorithms is that they require a large computation time for their building mapping and path planning processes. This problem makes it difficult to cope with an environment that changes in real-time. Therefore, we propose a humanoid robot navigation algorithm consisting of an image processing and optimization algorithm. This algorithm realizes navigation with less computation time than conventional navigation algorithms using map building and path planning processes, and can cope with an environment that changes in real-time.

A Hybrid of Smartphone Camera and Basestation Wide-area Indoor Positioning Method

  • Jiao, Jichao;Deng, Zhongliang;Xu, Lianming;Li, Fei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권2호
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    • pp.723-743
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    • 2016
  • Indoor positioning is considered an enabler for a variety of applications, the demand for an indoor positioning service has also been accelerated. That is because that people spend most of their time indoor environment. Meanwhile, the smartphone integrated powerful camera is an efficient platform for navigation and positioning. However, for high accuracy indoor positioning by using a smartphone, there are two constraints that includes: (1) limited computational and memory resources of smartphone; (2) users' moving in large buildings. To address those issues, this paper uses the TC-OFDM for calculating the coarse positioning information includes horizontal and altitude information for assisting smartphone camera-based positioning. Moreover, a unified representation model of image features under variety of scenarios whose name is FAST-SURF is established for computing the fine location. Finally, an optimization marginalized particle filter is proposed for fusing the positioning information from TC-OFDM and images. The experimental result shows that the wide location detection accuracy is 0.823 m (1σ) at horizontal and 0.5 m at vertical. Comparing to the WiFi-based and ibeacon-based positioning methods, our method is powerful while being easy to be deployed and optimized.

Integrating IndoorGML and Indoor POI Data for Navigation Applications in Indoor Space

  • Claridades, Alexis Richard;Park, Inhye;Lee, Jiyeong
    • 한국측량학회지
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    • 제37권5호
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    • pp.359-366
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    • 2019
  • Indoor spatial data has great importance as the demand for representing the complex urban environment in the context of providing LBS (Location-based Services) is increasing. IndoorGML (Indoor Geographic Markup Language) has been established as the data standard for spatial data in providing indoor navigation, but its definitions and relationships must be expanded to increase its applications and to successfully delivering information to users. In this study, we propose an approach to integrate IndoorGML with Indoor POI (Points of Interest) data by extending the IndoorGML notion of space and topological relationships. We consider two cases of representing Indoor POI, by 3D geometry and by point primitive representation. Using the concepts of the NRS (node-relation structure) and multi-layered space representation of IndoorGML, we define layers to separate features that represent the spaces and the Indoor POI into separate, but related layers. The proposed methodology was implemented with real datasets to evaluate its effectiveness for performing indoor spatial analysis.

Exploring Smartphone-Based Indoor Navigation: A QR Code Assistance-Based Approach

  • Chirakkal, Vinjohn V;Park, Myungchul;Han, Dong Seog
    • IEIE Transactions on Smart Processing and Computing
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    • 제4권3호
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    • pp.173-182
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    • 2015
  • A real-time, Indoor navigation systems utilize ultra-wide band (UWB), radio-frequency identification (RFID) and received signal strength (RSS) techniques that encompass WiFi, FM, mobile communications, and other similar technologies. These systems typically require surplus infrastructure for their implementation, which results in significantly increased costs and complexity. Therefore, as a solution to reduce the level of cost and complexity, an inertial measurement unit (IMU) and quick response (QR) codes are utilized in this paper to facilitate navigation with the assistance of a smartphone. The QR code helps to compensate for errors caused by the pedestrian dead reckoning (PDR) algorithm, thereby providing more accurate localization. The proposed algorithm having IMU in conjunction with QR code shows an accuracy of 0.64 m which is higher than existing indoor navigation techniques.