Kalman-and-Bayesian-Filters-in-Python
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Bicycle model in chapeter 10
Many thanks for this fantastic book
Just to make bicycle model calculation more clear to me. Assuming both wheels are on the same circle of radius R (that is exactly the no slip assumption) then pure trigonometry gives w / R = tan(alpha) (as both radius are perpendicular to wheels) and then with beta = d / R we obtain beta = d / w * tan(alpha)
otherwise the relationship beta = d / w * tan(alpha) at the beginning seems to come "out of the hat".