Abstract
A method of estimating the mean velocity of a group of vehicles moving in one lane was proposed. The vehicle image blurring and the appearance of Gaussian noises at individual stages of image acquisition were considered. The method is based on the signal approximation by application of a parabolic function (formulas (1) and (2)). The algorithm work in strong random noise conditions was verified through appropriate computer simulations.
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Purczyński, J. (2010). Estimation of the Mean Velocity of a Group of Vehicles in Strong Random Noise Conditions. In: Mikulski, J. (eds) Transport Systems Telematics. TST 2010. Communications in Computer and Information Science, vol 104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16472-9_18
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DOI: https://doi.org/10.1007/978-3-642-16472-9_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16471-2
Online ISBN: 978-3-642-16472-9
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