A method for estimating the speed of a vehicle moving in a single lane has been proposed. The blurring of the vehicle image and the presence of Gaussian noise at individual stages of image acquisition were taken into account. The algorithm is based on signal preprocessing consisting of averaging a sequence of images. The averaging operation reduces the noise level while simultaneously introducing an error consisting of blurring the moving vehicle. In the further stage of calculations, Brown’s exponential smoothing method and the moving average method were used. The performance of the algorithm under conditions of strong random interference was verified as a result of computer simulations conducted.
Computer simulations – PDF file for download
Computer simulations
January 1, 2013 | Super User