An android-based IoT system for vehicle monitoring and diagnostic

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dc.contributor.authorTurk E.
dc.contributor.authorChallenger M.
dc.date.accessioned2019-10-26T21:14:54Z
dc.date.available2019-10-26T21:14:54Z
dc.date.issued2018
dc.departmentEge Üniversitesien_US
dc.descriptionAselsan;et al.;Huawei;IEEE Signal Processing Society;IEEE Turkey Section;Netasen_US
dc.description26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 -- 2 May 2018 through 5 May 2018 -- 137780en_US
dc.description.abstractIn this study, a driver behavior analysis tool and an in-vehicle sensor data monitoring system are presented. The study offers a system based on low cost hardware and advanced software capabilities. The embedded system utilizes the information provided by in-car sensors using the Controller Area Network (CAN), an Inertial Measurement Unit (IMU) and a GPS. By combining this information, the driving performance and driving characteristics are determined. Thanks to the GPS position data, instantaneous speed and vehicle information will be displayed on a map based on location. In addition, dozens of vehicle-related sensor data can be accessed by users over the remote server. © 2018 IEEE.en_US
dc.identifier.doi10.1109/SIU.2018.8404378
dc.identifier.endpage4en_US
dc.identifier.isbn9781538615010
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage1en_US
dc.identifier.urihttps://doi.org/10.1109/SIU.2018.8404378
dc.identifier.urihttps://hdl.handle.net/11454/15918
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof26th IEEE Signal Processing and Communications Applications Conference, SIU 2018en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAndroid Applicationen_US
dc.subjectCAN-BUSen_US
dc.subjectInternet of Thingsen_US
dc.subjectVehicle Monitoringen_US
dc.titleAn android-based IoT system for vehicle monitoring and diagnosticen_US
dc.typeConference Objecten_US

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