Evidence map›Paper›PMID 31717569›Full record

ArticleSensors (Basel, Switzerland)2019

Low-Cost Real-Time PPP/INS Integration for Automated Land Vehicles.

Mohamed Elsheikh, Walid Abdelfatah, Aboelmagd Nourledin, Umar Iqbal, Michael Korenberg

Erratum issuedAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Mohamed ElsheikhElectrical and Computer Engineering Department, Queen’s University, Kingston, ON K7L 3N6, CanadaORCID 0000-0003-0108-8203
Walid AbdelfatahProfound Positioning Inc., Calgary, AB T2P 3G3, Canada
Aboelmagd NourledinElectrical and Computer Engineering Department, Queen’s University, Kingston, ON K7L 3N6, Canada
Umar IqbalElectrical and Computer Engineering Department, Mississippi State University, Starkville, MS 39762, USA
Michael KorenbergElectrical and Computer Engineering Department, Queen’s University, Kingston, ON K7L 3N6, Canada

Funding

Mitacs IT08415Natural Sciences and Engineering Research Council of Canada STPGP 479248
6 · The paper itself

Abstract

The last decade has witnessed a growing demand for precise positioning in many applications including car navigation. Navigating automated land vehicles requires at least sub-meter level positioning accuracy with the lowest possible cost. The Global Navigation Satellite System (GNSS) Single-Frequency Precise Point Positioning (SF-PPP) is capable of achieving sub-meter level accuracy in benign GNSS conditions using low-cost GNSS receivers. However, SF-PPP alone cannot be employed for land vehicles due to frequent signal degradation and blockage. In this paper, real-time SF-PPP is integrated with a low-cost consumer-grade Inertial Navigation System (INS) to provide a continuous and precise navigation solution. The PPP accuracy and the applied estimation algorithm contributed to reducing the effects of INS errors. The system was evaluated through two road tests which included open-sky, suburban, momentary outages, and complete GNSS outage conditions. The results showed that the developed PPP/INS system maintained horizontal sub-meter Root Mean Square (RMS) accuracy in open-sky and suburban environments. Moreover, the PPP/INS system could provide a continuous real-time positioning solution within the lane the vehicle is moving in. This lane-level accuracy was preserved even when passing under bridges and overpasses on the road. The developed PPP/INS system is expected to benefit low-cost precise land vehicle navigation applications including level 2 of vehicle automation which comprises services such as lane departure warning and lane-keeping assistance.

Indexed as

automated vehiclesGNSSlow-cost sensorsPPPPPP/INS integrationvehicle navigation

Identifiers

PMID31717569
PMCPMC6891817

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.