Vehicle acceleration estimation using smartphone-based sensors

dc.contributor.authorBruwer, Francesen
dc.contributor.authorBooysen, M.en
dc.date.accessioned2016-11-08T12:11:15Z
dc.date.available2016-11-08T12:11:15Z
dc.date.issued2015en
dc.descriptionPaper presented at the 34th Annual Southern African Transport Conference 6-9 July 2015 "Working Together to Deliver - Sakha Sonke", CSIR International Convention Centre, Pretoria, South Africa.en
dc.description.abstractRecent advances in smartphone technology, including motion sensing and wireless communications, have resulted in these devices being used for vehicle-based driver behaviour sensing applications, replacing existing bespoke vehicle-based solutions. Acceleration is normally used as the primary indicator for recklessness. Despite the many benefits of using a smartphone to determine vehicle acceleration, the mobility of the phone relative to the vehicle, and the vehicle relative to the earth, causes the earth's gravitational force to obscure the true vehicle acceleration as perceived by the phone. The design and test results in this paper demonstrate how quaternions and an unscented Kalman filter can be used to remove the gravitational vector from the sensed acceleration, which enables reckless driving detection.en
dc.description.sponsorshipThe Minister of Transport, South Africaen
dc.description.sponsorshipTransportation Research Board of the USAen
dc.format.extent12 Pagesen
dc.format.mediumPDFen
dc.identifier.citationBruwer, F & Booysen, M 2015, "Vehicle acceleration estimation using smartphone-based sensors", Paper presented at the 34th Annual Southern African Transport Conference 6-9 July 2015 "Working Together to Deliver - Sakha Sonke", CSIR International Convention Centre, Pretoria, South Africa.en
dc.identifier.isbn978-1-920017-63-7en
dc.identifier.urihttp://hdl.handle.net/2263/57729
dc.language.isoenen
dc.publisherSouthern African Transport Conferenceen
dc.rightsSouthern African Transport Conferenceen
dc.subject.lcshTransportationen
dc.subject.lcshTransportation -- Africaen
dc.subject.lcshTransportation -- Southern Africaen
dc.titleVehicle acceleration estimation using smartphone-based sensorsen
dc.typePresentationen

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