How to Accurately Determine the Position on a Known Course in Road Cycling

Publikationstyp: Beitrag zu einer Konferenz
Publikationsstatus: Published
Autor/innen: Wolf, Stefan; Dobiasch, Martin; Artiga Gonzalez, Alexander; Saupe, Dietmar
Erscheinungsjahr: 2018
Konferenz: 11th International Symposium of Computer Science in Sports (IACSS 2017), 6. Sep 2017 - 9. Sep 2017, Konstanz
Erschienen in: Proceedings of the 11th International Symposium on Computer Science in Sport (IACSS 2017) / Lames, Martin; Saupe, Dietmar; Wiemeyer, Josef (Hrsg.). - Cham : Springer, 2018. - (Advances in Intelligent Systems and Computing ; 663). - S. 103-109. - ISSN 2194-5357. - eISSN 2194-5365. - ISBN 978-3-319-67845-0
DOI (zitierfähiger Link): https://dx.doi.org/10.1007/978-3-319-67846-7_11
Zusammenfassung:
With modern cycling computers it is possible to provide cyclists with complex feedback during rides. If the feedback is course-dependent, it is necessary to know the riders current position on the course. Different approaches to estimate the position on the course from common GPS and speed sensors were compared: the direct distance measure derived from the number of rotations of the wheel, GPS coordinates projected onto the course trajectory, and a Kalman filter incorporating speed as well as GPS measurements. To quantify the accuracy of the different methods, an experiment was conducted on a race track where a fixed point on the course was tagged during the ride. The Kalman filter approach was able to overcome certain shortcomings of the other two approaches and achieved a mean error of −0.13m and a root mean square error of 0.97m.
Fachgebiet (DDC): 004 Informatik
Schlagwörter: Cycling; GPS; Kalman filter; Road cycling; Feedback
Universitätsbibliographie: Ja

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WOLF, Stefan, Martin DOBIASCH, Alexander ARTIGA GONZALEZ, Dietmar SAUPE, 2018. How to Accurately Determine the Position on a Known Course in Road Cycling. 11th International Symposium of Computer Science in Sports (IACSS 2017). Konstanz, 6. Sep 2017 - 9. Sep 2017. In: LAMES, Martin, ed., Dietmar SAUPE, ed., Josef WIEMEYER, ed.. Proceedings of the 11th International Symposium on Computer Science in Sport (IACSS 2017). 11th International Symposium of Computer Science in Sports (IACSS 2017). Konstanz, 6. Sep 2017 - 9. Sep 2017. Cham:Springer, pp. 103-109. ISSN 2194-5357. eISSN 2194-5365. ISBN 978-3-319-67845-0. Available under: doi: 10.1007/978-3-319-67846-7_11

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