@article{ref1,
title="Vehicle speed measurement using stereo camera pair",
journal="IEEE transactions on intelligent transportation systems",
year="2022",
author="Najman, Pavel and Zemčík, Pavel",
volume="23",
number="3",
pages="2202-2210",
abstract="We have proposed a novel method for vehicle speed estimation using a calibrated and synchronized pair of stereo cameras. In a newly proposed method, we first localize the vehicle by detecting and tracking its license plate in a series of stereo images; then, we triangulate the vehicle position along its trajectory; and finally, we compute its speed based on the trajectory and time. The experiments show that the proposed method overcomes state-of-the-art results with a mean error of approximately 0.05 km/h, a standard deviation of less than 0.20 km/h, and a maximum absolute error of less than 0.75 km/h. For the purpose of evaluation, we have recorded a dataset that contains over 600 vehicles whose trajectories were recorded and for which their ground truth speed was obtained from a pair of single beam LIDARs in optical gate configuration. Using the presented method, the speed was measured for over 99 % of the recorded vehicles. Others were rejected by the method mainly due to their short trajectories, obstructed license plates or frame errors that would adversely affect the precision of the measurement.<p /> <p>Language: en</p>",
language="en",
issn="1524-9050",
doi="10.1109/TITS.2020.3035262",
url="http://dx.doi.org/10.1109/TITS.2020.3035262"
}