A Bayesian Approach to Jointly Estimate Tire Radii and Vehicle Trajectory
2011 (English)In: Proceedings of the International IEEE Conference on Intelligent Transportation Systems, Washington DC, USA: IEEE conference proceedings, 2011, 1-6 p.Conference paper (Refereed)
High-precision estimation of vehicle tire radii is considered, based on measurements on individual wheel speeds and absolute position from a global navigation satellite system (GNSS). The wheel speed measurements are subject to noise with time-varying covariance that depends mainly on the road surface. The novelty lies in a Bayesian approach to estimate online the time-varying radii and noise parameters using a marginalized particle filter, where no model approximations are needed such as in previously proposed algorithms based on the extended Kalman filter. Field tests show that the absolute radius can be estimated with millimeter accuracy, while the relative wheel radius on one axle is estimated with submillimeter accuracy.
Place, publisher, year, edition, pages
Washington DC, USA: IEEE conference proceedings, 2011. 1-6 p.
National CategorySignal Processing
IdentifiersURN: urn:nbn:se:liu:diva-72977DOI: 10.1109/ITSC.2011.6082980ISBN: 978-1-4577-2198-4OAI: oai:DiVA.org:liu-72977DiVA: diva2:464340
14th International IEEE Conference on Intelligent Transportation Systems, Washington, DC, 5-7 Oct. 2011
ProjectsVR - ETT