Publication Details

Vehicle Speed Measurement Using Stereo Camera Pair

NAJMAN Pavel and ZEMČÍK Pavel. Vehicle Speed Measurement Using Stereo Camera Pair. IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 3, 2020, pp. 2202-2210. ISSN 1524-9050. Available from: https://ieeexplore.ieee.org/document/9254152
Czech title
Měření rychlosti vozidel pomocí stereo kamery
Type
journal article
Language
english
Authors
URL
Keywords


Vehicle speed measurement, stereo matching, sub-pixel registration, stereo vision.

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.

Published
2020
Pages
2202-2210
Journal
IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 3, ISSN 1524-9050
Publisher
IEEE Intelligent Transportation Systems Society
DOI
UT WoS
000767865500047
EID Scopus
BibTeX
@ARTICLE{FITPUB12405,
   author = "Pavel Najman and Pavel Zem\v{c}\'{i}k",
   title = "Vehicle Speed Measurement Using Stereo Camera Pair",
   pages = "2202--2210",
   journal = "IEEE Transactions on Intelligent Transportation Systems",
   volume = 23,
   number = 3,
   year = 2020,
   ISSN = "1524-9050",
   doi = "10.1109/TITS.2020.3035262",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/12405"
}
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