Abstract
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 \({-0.13}\,{\text {m}}\) and a root mean square error of \({0.97}\,{\text {m}}\).
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Wing, M.G., Eklund, A., Kellogg, L.D.: Consumer-grade global positioning system (GPS) accuracy and reliability. J. Forest. 103(4), 169–173 (2005)
Yoshimura, T., Hasegawa, H.: Comparing the precision and accuracy of GPS positioning in forested areas. J. Forest Res. 8(3), 147–152 (2003)
Schipperijn, J., Kerr, J., Duncan, S., Madsen, T., Klinker, C. D., Troelsen, J.: Dynamic accuracy of GPS receivers for use in health research: a novel method to assess GPS accuracy in real-world settings. Front. Public Health 2 (2014)
Wolf, S., Bertschinger, R., Saupe, D.: Road cycling climbs made speedier by personalized pacing strategies. In: 4th International Congress on Sport Sciences Research and Technology Support, pp. 109-114 (2016)
MATLAB: Curve Fitting Toolbox User’s Guide. The MathWorks Inc. (2017)
Welch, G., Bishop, G.: An Introduction to the Kalman Filter (1995)
Dobiasch, M., Baca, A.: Pegasos - Ein Generator für Feedbacksysteme. In: 11. Symposium der dvs-Sektion Sportinformatik, vol. 18 (2016)
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Wolf, S., Dobiasch, M., Gonzalez, A.A., Saupe, D. (2018). How to Accurately Determine the Position on a Known Course in Road Cycling. In: Lames, M., Saupe, D., Wiemeyer, J. (eds) Proceedings of the 11th International Symposium on Computer Science in Sport (IACSS 2017). IACSS 2017. Advances in Intelligent Systems and Computing, vol 663. Springer, Cham. https://doi.org/10.1007/978-3-319-67846-7_11
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DOI: https://doi.org/10.1007/978-3-319-67846-7_11
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