A novel parallel constrained extended Kalman filter for improving navigation algorithm – case study: gas pipeline-Reference-Cited by-同舟云学术

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A novel parallel constrained extended Kalman filter for improving navigation algorithm – case study: gas pipeline

Published:2023-08-10 Issue: Volume: Page:1-16
ISSN:0039-6265
Container-title:Survey Review
language:en
Short-container-title:Survey Review

Author:

Hatefi Afshar I.¹^ORCID,Delavar M. R.²,Moshiri B.³

Affiliation:

1. GIS Dept., School of Surveying and Geospatial Eng., College of Engineering, University of Tehran, Tehran, Iran

2. Center of Excellence in Geomatics Eng. in Disaster Management, School of Surveying and Geospatial Eng., College of Engineering, University of Tehran, Tehran, Iran

3. Center of Excellence in Electrical and Computer Eng., School of Electrical and Computer Eng., College of Engineering, University of Tehran, Tehran, Iran

Publisher

Informa UK Limited

Subject

Earth and Planetary Sciences (miscellaneous),Computers in Earth Sciences,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00396265.2023.2244291

Reference24 articles.

1. El-Sheimy, N., Sahli, H.A., and Moussa, A.M.A.E. Methods and systems to enhance pipeline trajectory reconstruction using pipeline junctions, ed. US 2017/0138524 A1: Google Patents, 2017.

2. Inertial sensors technologies for navigation applications: state of the art and future trends

3. Modified Unscented Kalman Filter for a Multirate INS/GPS Integrated Navigation System

4. An approach to benchmarking of loosely coupled low-cost navigation systems

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