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    Positioning Integrity, Availability and Precision for Journey Planning and Navigation Using GNSS Integrated with Low-Cost Sensors

    Access Status
    Fulltext not available
    Authors
    El-Mowafy, Ahmed
    Imparato, D.
    Date
    2018
    Type
    Conference Paper
    
    Metadata
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    Citation
    El-Mowafy, A. and Imparato, D. 2018. Positioning Integrity, Availability and Precision for Journey Planning and Navigation Using GNSS Integrated with Low-Cost Sensors. In: 31st International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2018), Sep 24 - 28, 2018, Miami, Florida.
    Source Title
    Proceedings of the 31st International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2018)
    Source Conference
    31st International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2018)
    DOI
    10.33012/2018.16028
    ISSN
    0120-100X
    School
    School of Earth and Planetary Sciences (EPS)
    URI
    http://hdl.handle.net/20.500.11937/74908
    Collection
    • Curtin Research Publications
    Abstract

    Intelligent transportation systems (ITS) and autonomous vehicles need accurate localization solutions for applications such as lane identification and collision avoidance. Accuracy at the sub-metre level with 100% availability and integrity above 99% are desired. At present, no single positioning sensor can meet these requirements. In this study, continuous positioning is obtained by using GNSS-RTK with MEMS IMU and vehicle odometer. For journey planning, a new approach is presented to choose the route with best positioning performance, where positioning integrity, availability and precision along different possible routes are predicted. Prediction of the satellites in view is performed using 3D city models. A method is presented for computation of the Protection Levels (PL), which bound the position errors along the direction of motion of the vehicle and for the cross-track direction. In the case of actual navigation, the Fault Detection and Exclusion (FDE) process in integrity monitoring (IM) includes applying the Chi-square test for detection of faults and identification is performed using the w-test, both are applied in the observation domain. The exclusion of observations is confirmed using the solution-separation method, performed in the position domain. A new test defined as ‘FIT” is presented, which checks the impact of the remaining measurement and system errors after the FDE on the final position. The proposed methods are demonstrated through a kinematic test run in an urban area, which represents a challenging environment for ITS applications. The predicted positioning metrics were compared with their values computed from the actual test data. Results show that the 3D map-aided method is able to reasonably predict satellite visibility, and accordingly aid prediction of the integrity, availability and precision. However, it was optimistic in some sections of the road. When using RTK, tight PLs were produced and an alert limit of 1.0 m can be implemented with IM availability of 99%. The use of IMU+vehicle odometer computes the time-change in positioning, hence, their biases accumulate with time and their use in bridging RTK positioning should be limited to short periods.

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    • Positioning integrity, availability and precision for journey planning and navigation using GNSS integrated with low-cost sensors
      El-Mowafy, Ahmed ; Imparato, D. (2018)
      © 2018 Institute of Navigation. All rights reserved. Intelligent transportation systems (ITS) and autonomous vehicles need accurate localization solutions for applications such as lane identification and collision avoidance. ...
    • Reliable Positioning and Journey Planning for Intelligent Transport Systems. Advanced Energy Management, Modelling and Control for Intelligent and Efficient Transport Systems
      El-Mowafy, Ahmed ; Kubo, Nobuaki; Kealy, Allison (2019)
      Safety and reliability of Intelligent Transport Systems applications require positioning accuracy at the sub-meter level with availability and integrity above 99%. At present, no single positioning sensor can meet these ...
    • Integrity Monitoring for Network RTK Users with Enhanced Computational Performance
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      Integrity monitoring (IM) is a vital task for precise real-time positioning in road transportation, autonomous driving, and drones, where safety is essential. IM has the main tasks of detection and exclusion of faulty ...
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