• Title/Summary/Keyword: PNS(Pedestrian Navigation System)

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Sensor Fusion and Error Compensation Algorithm for Pedestrian Navigation System

  • Cho, Seong-Yun;Park, Chan-Gook;Yim, Hwa-Young
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.1001-1006
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    • 2003
  • This paper presents the pedestrian navigation algorithm and the error compensation filter. The pedestrian navigation system (PNS) consists of the MEMS inertial sensors, the fluxgate, and the small-size GPS receiver. PNS calculates the navigational information using the signal patterns of the accelerometers. And the navigational information is completed by integration of the patterns, the fluxgate, and the GPS information. In general, PNS can provide the better solution than the low-cost inertial navigation system.

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Study on the Method to Create a Pedestrian Network and Path using Navigation Data for Vehicles (차량용 내비게이션 데이터를 이용한 보행 네트워크 및 경로 생성 기법)

  • Ga, Chill-O;Lee, Won-Hee;Yu, Ki-Yun
    • Journal of Korean Society for Geospatial Information Science
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    • v.19 no.3
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    • pp.67-74
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    • 2011
  • In recent years, with increasing utilization of mobile devices such as smartphones, the need for PNS(Pedestrian Navigation Systems) that provide guidance for moving pedestrians is increasing. For the navigation services, road network is the most important component when it comes to creating route and guidance information. In particular, pedestrian network requires modeling methods for more detailed and vast space compared to road network. Therefore, more efficient method is needed to establish pedestrian network that was constructed by existing field survey and manual editing process. This research proposed a pedestrian network creation method appropriate for pedestrians, based on CNS(Car Navigation Systems) data that already has been broadly constructed. Pedestrian network was classified into pedestrian link(sidewalk, side street, walking facility) and openspace link depending on characteristics of walking space, and constructed by applying different methodologies in order to create path that similar to the movements of actual pedestrians. The proposed algorithm is expected to become an alternative for reducing the time and cost of pedestrian network creation.

Node-Link Development for Pedestrian Navigation System (PNS 네트워크 Node-Link 구성체계)

  • Nam, Doo-Hee;Kim, Young-Shin
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.7 no.5
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    • pp.26-32
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    • 2008
  • A pedestrian navigation system, an information delivery server, and a program for naturally guiding (such as speech-guiding) the user of a portable terminal at an intersection. An information delivery server comprises a map database containing data such as nodes including paths constituting intersections, links, and costs of the links. The node-link structure is the most important part in pedestrian navigation system. Functional requirements for the road map database vary in different navigation phases. though there are various road network models, their traditional node-link structures, unfortunately, do not solve the problem well. This paper proposes a node-link structure for pedestrian navigation system. The network topological structure in pedestrianl network is presented, which accords with the practical walking habit better than traditional way treating the entire road network.

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Pedestrian Dead Reckoning based Position Estimation Scheme considering Pedestrian's Various Movement Type under Combat Environments (전장환경 하에서 보행자의 다양한 이동유형을 고려한 관성항법 기반의 위치인식 기법)

  • Park, SangHoon;Chae, Jongmok;Lee, Jang-Myung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.10
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    • pp.609-617
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    • 2016
  • In general, Personal Navigation Systems (PNSs) can be defined systems to acquire pedestrian positional information. GPS is an example of PNS. However, GPS can only be used where the GPS signal can be received. Pedestrian Dead Reckoning (PDR) can estimate the positional information of pedestrians using Inertial Measurement Unit (IMU). Therefore, PDR can be used for GPS-disabled areas. This paper proposes a PDR scheme considering various movement types over GPS-disabled areas as combat environments. We propose a movement distance estimation scheme and movement direction estimation scheme as pedestrian's various movement types such as walking, running and crawling using IMU. Also, we propose a fusion algorithm between GPS and PDR to mitigate the lack of accuracy of positional information at the entrance to the building. The proposed algorithm has been tested in a real test bed. In the experimental results, the proposed algorithms exhibited an average position error distance of 5.64m and position error rate in goal point of 3.41% as a pedestrian traveled 0.6km.