Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/92779
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Aeronautical and Aviation Engineering | en_US |
dc.creator | Luo, Y | en_US |
dc.creator | Yu, C | en_US |
dc.creator | Xu, B | en_US |
dc.creator | Li, J | en_US |
dc.creator | Tsai, GJ | en_US |
dc.creator | Li, Y | en_US |
dc.creator | El-Sheimy, N | en_US |
dc.date.accessioned | 2022-05-16T09:07:42Z | - |
dc.date.available | 2022-05-16T09:07:42Z | - |
dc.identifier.isbn | 978-1-7281-2345-5 (Electronic ISBN) | en_US |
dc.identifier.isbn | 978-1-7281-2344-8 (CD) | en_US |
dc.identifier.isbn | 978-1-7281-2346-2 (Print on Demand(PoD) ISBN) | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/92779 | - |
dc.language.iso | en | en_US |
dc.rights | © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
dc.rights | The following publication Luo, Y., Yu, C., Xu, B., Li, J., Tsai, G. J., Li, Y., & El-Sheimy, N. (2019, December). Assessment of Ultra-Tightly Coupled GNSS/INS Integration System towards Autonomous Ground Vehicle Navigation Using Smartphone IMU. In 2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP) (pp. 1-6). IEEE is available at https://doi.org/10.1109/ICSIDP47821.2019.9173292 | en_US |
dc.subject | Consumer-level IMU | en_US |
dc.subject | Global navigation satellite system (GNSS) | en_US |
dc.subject | Ground vehicle navigation | en_US |
dc.subject | Ultra-tightly coupled GNSS/INS integration | en_US |
dc.subject | Vector tracking | en_US |
dc.title | Assessment of ultra-tightly coupled GNSS/INS integration system towards autonomous ground vehicle navigation using smartphone IMU | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.doi | 10.1109/ICSIDP47821.2019.9173292 | en_US |
dcterms.abstract | An ultra-tightly coupled (UTC) GNSS/INS integration navigation system is established and researched for the autonomous ground vehicle navigation based on the consumer-level inertial measurement unit (IMU). The used IMU is chosen from a smartphone in this work. The proposed integration architecture is tested with a GNSS software-defined receiver (SDR) using the vector tracking (VT) technique. The UTC integration system which is measured through both GNSS measurements and the IMU data is an upgraded version of the vector tracking technique. Meanwhile, the performances of both the integration solutions and the GNSS solutions can be improved by such advanced technology. An extremely challenging environment is chosen to verify the navigation performance. The loosely coupled (LC) GNSS/INS integration navigation system using the vector GNSS SDR and a commercial U-Blox GNSS receiver are also tested in the same scenario as comparisons. The field test results demonstrate that the proposed ultra-tight coupling algorithm can enhance the availability of the navigation solutions. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | 2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP), 11-13 Dec. 2019, Chongqing, China | en_US |
dcterms.issued | 2019 | - |
dc.identifier.scopus | 2-s2.0-85091947134 | - |
dc.relation.conference | IEEE International Conference on Signal, Information and Data Processing [ICSIDP] | en_US |
dc.description.validate | 202205 bckw | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | AAE-0103 | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | National Natural Science Foundation of China; Chang Jiang Scholars Programme | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 42726389 | - |
Appears in Collections: | Conference Paper |
Files in This Item:
File | Description | Size | Format | |
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Xu_Assessment_Ultra-Tightly_Coupled.pdf | Pre-Published version | 2.07 MB | Adobe PDF | View/Open |
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