Vehicle acceleration estimation using smartphone-based sensors
dc.contributor.author | Bruwer, F. J. | en_ZA |
dc.contributor.author | Booysen, Marthinus J. | en_ZA |
dc.date.accessioned | 2015-07-03T08:09:25Z | en_ZA |
dc.date.available | 2015-07-03T08:09:25Z | en_ZA |
dc.description | 34th Annual Southern African Transport Conference SATC 2015 - Theme - Transport: Working together to deliver – ‘SAKHA SONKE', 6 to 9 July 2015, CSIR International Convention Centre, Pretoria, South Africa . | en_ZA |
dc.description | The original proceedings are available at http://repository.up.ac.za/handle/2263/5201 | en_ZA |
dc.description.abstract | Recent 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_ZA |
dc.identifier.uri | http://hdl.handle.net/10019.1/97193 | |
dc.language.iso | en_ZA | en_ZA |
dc.subject.lcsh | Motor vehicle driving -- Steering | en_ZA |
dc.subject.lcsh | Accelerometers | en_ZA |
dc.subject.lcsh | Acceleration (Mechanics) -- Measurement | en_ZA |
dc.subject.lcsh | Reckless driving -- Detection | en_ZA |
dc.subject.lcsh | Motion detectors | en_ZA |
dc.subject.lcsh | Wireless communication systems | en_ZA |
dc.subject.lcsh | Vehicle acceleration | en_ZA |
dc.title | Vehicle acceleration estimation using smartphone-based sensors | en_ZA |
dc.type | Conference Paper | en_ZA |