  In navigation activities, kinematic parameters of a mobile vehicle play a
significant role. Odometry is most commonly used for dead reckoning. However,
the unrestricted accumulation of errors is a disadvantage using this method. As
a result, it is necessary to calibrate odometry parameters to minimize the
error accumulation. This paper presents a pipeline based on sequential least
square programming to minimize the relative position displacement of an
arbitrary landmark in consecutive time steps of a kinematic vehicle model by
calibrating the parameters of applied model. Results showed that the developed
pipeline produced accurate results with small datasets.
