Abstract
Today’s bicycle computers and power meters allow cyclists to control the training at any time. But what should be done if several cyclists ride in a group? Here, the cyclists will be stressed differently due to the exploitation of lee. To take maximum advantage of the group, the position of the cyclists has to be changed at the right time. The speed must be in accordance with the overall training or racing goal as well as with the current fitness of all group members. A bicycle demonstrator of the research center "Ambient Intelligence" (AmI) at the University of Kaiserslautern shall optimize this problem.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Schürmann, B., Volk, R. (2008). Research Center Ambient Intelligence: Assisted Bicycle Team Training. In: Dengel, A.R., Berns, K., Breuel, T.M., Bomarius, F., Roth-Berghofer, T.R. (eds) KI 2008: Advances in Artificial Intelligence. KI 2008. Lecture Notes in Computer Science(), vol 5243. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85845-4_53
Download citation
DOI: https://doi.org/10.1007/978-3-540-85845-4_53
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85844-7
Online ISBN: 978-3-540-85845-4
eBook Packages: Computer ScienceComputer Science (R0)