<div class="csl-bib-body">
<div class="csl-entry">Klinger, F., Ott, C., Poks, A., Edelmann, J., & Plöchl, M. (2024). Towards Friction Potential Estimation for Motorcycles. In G. Mastinu, F. Braghin, F. Cheli, M. Corno, & S. M. Savaresi (Eds.), <i>16th International Symposium on Advanced Vehicle Control : Proceedings of AVEC’24 – Society of Automotive Engineers of Japan</i> (pp. 550–556). Springer. https://doi.org/10.1007/978-3-031-70392-8_78</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/205590
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dc.description.abstract
Estimation of the actual friction potential from measured vehicle states has been extensively explored for passenger cars, but lacks attention for motorcycles. Several aspects towards friction potential estimation for motorcycles are discussed in this study: (i) analysis of the characteristics of motorcycle tyres on different surfaces and conditions by using an instrumented motorcycle, (ii) analysis of the theoretical performance of an EKF-based friction potential estimation approach by means of simulation studies, and (iii) analysis of the feasibility of using a wetness sensor on the motorcycle to gain information on actual road conditions.
en
dc.language.iso
en
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
EKF
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dc.subject
Extended Kalman Filter
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dc.subject
Friction Potential Estimation
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dc.subject
Motorcycle
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dc.subject
Road Conditions
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dc.subject
Tyre Characteristics
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dc.subject
Wetness Sensor
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dc.title
Towards Friction Potential Estimation for Motorcycles
