Vehicle Speed Measurement Using Stereo Camera Pair

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F20%3APU138939" target="_blank" >RIV/00216305:26230/20:PU138939 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/9254152" target="_blank" >https://ieeexplore.ieee.org/document/9254152</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TITS.2020.3035262" target="_blank" >10.1109/TITS.2020.3035262</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Vehicle Speed Measurement Using Stereo Camera Pair

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Vehicle Speed Measurement Using Stereo Camera Pair

Popis výsledku anglicky

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.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

ISSN

1524-9050

e-ISSN

1558-0016

Svazek periodika

23

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

9

Strana od-do

2202-2210

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85097929289