Validation of a Mathematical Model for Road Cycling Power
Prof. James Martin
Univ Utah
Link
Bicycle aerodynamics: History, state-of-the-art and future perspectives
Prof. Bert Blocken
Eindhoven Univ of Tech
Link
Wind speed, wind yaw and the aerodynamic drag acting on a bicycle and rider
Osman Isvan
Link
Cycling speeds in crosswinds
Prof. Christophe Clanet
Ecole Polytechnique
Link
Estimating CdA with a power meter
Prof. Robert Chung
Link
Rolling Resistance 101
Richard Wix
Australian Road Research
Link
Tyre Rolling Resistance
Michelin
Link
Smartphone-enabled road condition monitoring: from accelerations to road roughness and excess energy dissipation
Dr. Meshkat Botshekan
MIT
Link
New Stochastic Approach of Vehicle Energy Dissipation on Nondeformable Rough Pavements
Prof. Robin Kim
Hanyang Univ
Link
Validity of a novel device for real-time analysis of cyclists’ drag area
Pedro Valenzuela
University of Alcalá
Link
Reliability and sensitivity of the Notio Konect to quantify coefficient of drag area in elite track cyclists
Mehdi Kordi
Royal Dutch Cycling Federation
Link
Reliability and Sensitivity of the Notio Device and Aeroscale
Service to Quantify Cyclists' Drag Coefficients in Outdoor
Conditions
Antoine Bruez
IMT Mines Ales
Link
Validity of a novel device for indoor analysis of cyclists’ drag area
Manuel Ordiñana-Pérez
University of Valencia
Link
Understanding the Aerodynamic Environment in Track Cycling
Shaun Fitzgerald
University of Adelaide
Link
Aerodynamics of Track Cycling
Lindsey Underwood
University of Canterbury NZ
Link
A mathematical model for simulating cycling: applied to track cycling
Billy Fitton & Digby Symons
British Cycling
Link
Kalman Filter
Wikipedia
Link
Kalman Filter
Axel Becker
Kalmanfilter.net
Link
How a KF works in pictures
Tim Babb
Bzarg.com
Link
Kalman filter: intuition & derivation
Vivek Yadav
Towards Data Science
Link
Simple & intuitive derivation
Prof. Ramsey Galagher
IEEE Spectrum
Link
Understanding Kalman Filters (video series)
Matlab
Link
State estimation using Control System toolbox
Matlab
Link
Using Nonlinear Kalman Filtering to Estimate Signals
Prof. Dan Simon
Cleveland State Univ
Link
Sensor Fusion
Wikipedia
Link
Elementary Introduction to KF
Yan Pei
ACM
Link
Introduction to Estimation Filters
Matlab
Link
Sensor Fusion toolbox
Matlab
Link
Statistical Sensor Fusion (textbook and examples)
Prof. Fredrik Gustafsson
Linkoping Univ
Link