@article{Lemaitre_Voiry_Andre_2018, title={First evaluation of an automated system for cyclist’s aerodynamic drag assessment}, volume={7}, url={https://jsc-journal.com/index.php/JSC/article/view/389}, abstractNote={<p style="line-height: 100%;"><span style="font-family: Carlito, serif;"><span lang="en-US"><strong>Context: </strong></span></span><span style="font-family: Carlito, serif;"><span lang="en-US">When riding on a flat road at high speed, the major part of the resistive forces experienced by a cyclist is due to aerodynamic drag. Reducing this drag is thus a key challenge for improving cycling performance. To do so it must be adequately quantified.</span></span> <span style="font-family: Carlito, serif;"><span lang="en-US">In this regard, different methods have been proposed in literature: wind tunnel [1], dynamometric measurement [2], deceleration [3], and linear regression [4]. Recently, a new approach that couples 3D digitization and computational has been investigated [5-8].</span></span></p> <!-- p { margin-bottom: 0.25cm; direction: ltr; color: rgb(0, 0, 10); line-height: 120%; text-align: left; }p.western { font-family: "Liberation Serif", serif; font-size: 12pt; }p.cjk { font-family: "Noto Sans CJK SC Regular"; font-size: 12pt; }p.ctl { font-family: "FreeSans"; font-size: 12pt; }a:link { } --&gt;}, number={2}, journal={Journal of Science and Cycling}, author={Lemaitre, Cedric and Voiry, Matthieu and Andre, Cyrille}, year={2018}, month={Nov.}, pages={9-11} }