Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/88496
DC Field | Value | Language |
---|---|---|
dc.contributor | Interdisciplinary Division of Aeronautical and Aviation Engineering | - |
dc.creator | Chiang, KW | en_US |
dc.creator | Li, YH | en_US |
dc.creator | Hsu, LT | en_US |
dc.creator | Chu, FY | en_US |
dc.date.accessioned | 2020-11-27T05:49:51Z | - |
dc.date.available | 2020-11-27T05:49:51Z | - |
dc.identifier.uri | http://hdl.handle.net/10397/88496 | - |
dc.language.iso | en | en_US |
dc.publisher | Molecular Diversity Preservation International (MDPI) | en_US |
dc.rights | © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). | en_US |
dc.rights | The following publication Chiang, K.-W.; Li, Y.-H.; Hsu, L.-T.; Chu, F.-Y. The Design a TDCP-Smoothed GNSS/Odometer Integration Scheme with Vehicular-Motion Constraint and Robust Regression. Remote Sens. 2020, 12, 2550 is available at https://dx.doi.org/10.3390/rs12162550 | en_US |
dc.subject | Global navigation satellite system | en_US |
dc.subject | Intelligent transport system | en_US |
dc.subject | Multipath | en_US |
dc.subject | Non-line-of-sight | en_US |
dc.subject | Time-differenced carrier phase | en_US |
dc.subject | Odometer | en_US |
dc.subject | Fault detection and exclusion | en_US |
dc.subject | Dead reckoning | en_US |
dc.title | The design a TDCP-Smoothed GNSS/Odometer Integration Scheme with vehicular-motion constraint and robust regression | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 1 | en_US |
dc.identifier.epage | 29 | en_US |
dc.identifier.volume | 12 | en_US |
dc.identifier.issue | 16 | en_US |
dc.identifier.doi | 10.3390/rs12162550 | en_US |
dcterms.abstract | Global navigation satellite system (GNSS) is widely regarded as the primary positioning solution for intelligent transport system (ITS) applications. However, its performance could degrade, due to signal outages and faulty-signal contamination, including multipath and non-line-of-sight reception. Considering the limitation of the performance and computation loads in mass-produced automotive products, this research investigates the methods for enhancing GNSS-based solutions without significantly increasing the cost for vehicular navigation system. In this study, the measurement technique of the odometer in modern vehicle designs is selected to integrate the GNSS information, without using an inertial navigation system. Three techniques are implemented to improve positioning accuracy; (a) Time-differenced carrier phase (TDCP) based filter: A state-augmented extended Kalman filter is designed to incorporate TDCP measurements for maximizing the effectiveness of phase-smoothing; (b) odometer-aided constraints: The aiding measurement from odometer utilizing forward speed with the lateral constraint enhances the state estimation; the information based on vehicular motion, comprising the zero-velocity constraint, fault detection and exclusion, and dead reckoning, maintains the stability of the positioning solution; (c) robust regression: A weighted-least-square based robust regression as a measurement-quality assessment is applied to adjust the weightings of the measurements adaptively. Experimental results in a GNSS-challenging environment indicate that, based on the single-point-positioning mode with an automotive-grade receiver, the combination of the proposed methods presented a root-mean-square error of 2.51 m, 3.63 m, 1.63 m, and 1.95 m for the horizontal, vertical, forward, and lateral directions, with improvements of 35.1%, 49.6%, 45.3%, and 21.1%, respectively. The statistical analysis exhibits 97.3% state estimation result in the horizontal direction for the percentage of epochs that had errors of less than 5 m, presenting that after the intervention of proposed methods, the positioning performance can fulfill the requirements for road level applications. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Remote sensing, 2 Aug. 2020, v. 12, no. 16, 2550, p. 1-29 | en_US |
dcterms.isPartOf | Remote sensing | en_US |
dcterms.issued | 2020-08-02 | - |
dc.identifier.isi | WOS:000565451100001 | - |
dc.identifier.scopus | 2-s2.0-85090015476 | - |
dc.identifier.eissn | 2072-4292 | en_US |
dc.identifier.artn | 2550 | en_US |
dc.description.validate | 202011 bcrc | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_Scopus/WOS | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | CC | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Chiang_Design_TDCP-Smoothed_Vehicular-Motion.pdf | 6.14 MB | Adobe PDF | View/Open |
Page views
82
Last Week
0
0
Last month
Citations as of Oct 13, 2024
Downloads
29
Citations as of Oct 13, 2024
SCOPUSTM
Citations
7
Citations as of Oct 17, 2024
WEB OF SCIENCETM
Citations
7
Citations as of Oct 17, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.