Development of CAN and OBD-II Supported Experimental Setup for Vehicle ECU Data Acquisition

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dc.authorscopusid57203889403en_US
dc.authorscopusid57189887324en_US
dc.authorscopusid26657906000en_US
dc.contributor.authorCeven, S.
dc.contributor.authorAlbayrak, A.
dc.contributor.authorBayir, R.
dc.date.accessioned2024-08-23T16:07:33Z
dc.date.available2024-08-23T16:07:33Z
dc.date.issued2022en_US
dc.departmentDüzce Üniversitesien_US
dc.description2022 International Conference on Artificial Intelligence of Things, ICAIoT 2022 -- 29 December 2022 through 30 December 2022 -- Istanbul -- 188710en_US
dc.description.abstractToday, CAN Bus protocol is widely used in various technological fields such as industrial, medical or automotive. Data is provided from ECUs and diagnostic codes through the OBD-II system, which is a standard in vehicles. The aim of this study is to develop an experimental setup to analyze driver driving skills based on vehicle data obtained over CAN Bus protocol with an open-source software. In this study, an experimental setup with a PiCAN 2 module and an LCD touch screen compatible with Raspberry Pi 3 Model B+ has been developed. Thanks to the developed experimental setup, it is connected to the vehicle ECU via an OBD-II connector to obtain real-time ECU data of the vehicle. This article presents validation tests to determine the design and construction phases of the system and its functionality as a data logger. Python programming language CAN software library was used on the experimental setup. © 2022 IEEE.en_US
dc.description.sponsorshipKarabük Üniversitesi, (KBÜBAP-22-DR-015)en_US
dc.identifier.doi10.1109/ICAIoT57170.2022.10121880
dc.identifier.isbn979-835039676-8en_US
dc.identifier.scopus2-s2.0-85160559580en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/ICAIoT57170.2022.10121880
dc.identifier.urihttps://hdl.handle.net/20.500.12684/14724
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofProceedings - 2022 International Conference on Artificial Intelligence of Things, ICAIoT 2022en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCAN Busen_US
dc.subjectdata acquisitionen_US
dc.subjectdriver skillsen_US
dc.subjectOBD-II Systemen_US
dc.subjectDiagnosisen_US
dc.subjectLiquid crystal displaysen_US
dc.subjectOpen source softwareen_US
dc.subjectOpen systemsen_US
dc.subjectTouch screensen_US
dc.subjectVehiclesen_US
dc.subjectAutomotivesen_US
dc.subjectBus protocolen_US
dc.subjectCAN busen_US
dc.subjectDesign and constructionen_US
dc.subjectDriver skillen_US
dc.subjectDriving skillsen_US
dc.subjectOBD-II systemen_US
dc.subjectOpen-source softwaresen_US
dc.subjectReal- timeen_US
dc.subjectValidation testen_US
dc.subjectData acquisitionen_US
dc.titleDevelopment of CAN and OBD-II Supported Experimental Setup for Vehicle ECU Data Acquisitionen_US
dc.typeConference Objecten_US

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