Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/70370
DC Field | Value | Language |
---|---|---|
dc.contributor | Interdisciplinary Division of Aeronautical and Aviation Engineering | - |
dc.creator | Hsu, LT | - |
dc.creator | Gu, YL | - |
dc.creator | Kamijo, S | - |
dc.date.accessioned | 2017-12-18T02:23:19Z | - |
dc.date.available | 2017-12-18T02:23:19Z | - |
dc.identifier.issn | 2379-8858 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/70370 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | © 2017 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 Hsu, L. T., Gu, Y., & Kamijo, S. (2017). Intelligent Viaduct Recognition and Driving Altitude Determination Using GPS Data. IEEE Transactions on Intelligent Vehicles, 2(3), 175-184 is available at http://dx.doi.org/10.1109/TIV.2017.2737325 | en_US |
dc.subject | Autonomous driving | en_US |
dc.subject | GPS | en_US |
dc.subject | GNSS | en_US |
dc.subject | Land application | en_US |
dc.subject | Localization | en_US |
dc.subject | Navigation | en_US |
dc.subject | Urban canyon | en_US |
dc.title | Intelligent viaduct recognition and driving altitude determination using GPS data | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 175 | en_US |
dc.identifier.epage | 184 | en_US |
dc.identifier.volume | 2 | en_US |
dc.identifier.issue | 3 | en_US |
dc.identifier.doi | 10.1109/TIV.2017.2737325 | en_US |
dcterms.abstract | The rapid development of road networks in highly urbanized cities requires a substantial number of viaducts to reduce the increasing traffic burden on urban highways. Unfortunately, this road design deteriorates the performance of global positioning system (GPS) navigators due to the signal blockage between satellite and receiver. As a result, it is difficult for GPS navigators to determine whether the vehicle is driving on the street or viaduct. Misleading information could confuse drivers and lead them to drive irregularly, which is dangerous in heavy traffic. This paper proposes a novel classification algorithm based on the fact that different satellite signals and conditions can be observed in the on-street and on-viaduct cases by the implementation of dynamic Bayesian network (DBN) to distinguish the driving area of a vehicle. In addition, the proposed DBN can also accurately estimate the driving altitude of the vehicle according to the experiment results. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | IEEE transactions on intelligent vehicles, Sept. 2017, v. 2, no. 3, p. 175-184 | - |
dcterms.isPartOf | IEEE transactions on intelligent vehicles | - |
dcterms.issued | 2017-09 | - |
dc.identifier.ros | 2017002911 | - |
dc.identifier.eissn | 2379-8904 | en_US |
dc.identifier.rosgroupid | 2017002812 | - |
dc.description.ros | 2017-2018 > Academic research: refereed > Publication in refereed journal | - |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | a0140-n03, a0230-n02 | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Intelligent_Viaduct_Recognition_and_Driving_Altitude_Determination_using_GPS_Data.pdf | Pre-Published version | 7.21 MB | Adobe PDF | View/Open |
Page views
221
Last Week
0
0
Last month
Citations as of Apr 21, 2024
Downloads
372
Citations as of Apr 21, 2024
SCOPUSTM
Citations
11
Citations as of Apr 26, 2024
WEB OF SCIENCETM
Citations
9
Last Week
0
0
Last month
Citations as of Apr 25, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.