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ŠPAŇHEL, J. JURÁNEK, R. HEROUT, A. NOVÁK, J. HAVRÁNEK, P.
Originální název
Analysis of Vehicle Trajectories for Determining Cross-Sectional Load Density Based on Computer Vision
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
The goal of this work was to analyze the behavior of vehicles on third-grade roads with and without horizontal lane markings with small curvature (R <= 200m). The roads are not frequented by many vehicles, and therefore, a general short-term study would not be able to provide enough data. We used recording devices for long-term (weeks) recording of the traffic and designed a system for analyzing the trajectories of the vehicles employing computer vision. We collected a dataset at 6 distinct locations, containing 1 010 hours of day-time video. In this dataset, we tracked over 12 000 cars and analyzed their trajectories. The results show that the selected approach is functional and provides information that would be hard to mine otherwise. After application of the horizontal markings, the drivers slowed down and shifted slightly towards the outer side of the curvature.
Klíčová slova
Road Safety, Lane Markings, Trajectory Analysis, Computer Vision, Vehicle Tracking
Autoři
ŠPAŇHEL, J.; JURÁNEK, R.; HEROUT, A.; NOVÁK, J.; HAVRÁNEK, P.
Vydáno
3. 7. 2019
Nakladatel
Institute of Electrical and Electronics Engineers
Místo
Auckland
ISBN
978-1-5386-7024-8
Kniha
2019 22th International Conference on Intelligenet Transportation Systems (ITSC)
Strany od
1001
Strany do
1006
Strany počet
6
URL
https://ieeexplore.ieee.org/document/8917374
BibTex
@inproceedings{BUT161457, author="ŠPAŇHEL, J. and JURÁNEK, R. and HEROUT, A. and NOVÁK, J. and HAVRÁNEK, P.", title="Analysis of Vehicle Trajectories for Determining Cross-Sectional Load Density Based on Computer Vision", booktitle="2019 22th International Conference on Intelligenet Transportation Systems (ITSC)", year="2019", pages="1001--1006", publisher="Institute of Electrical and Electronics Engineers", address="Auckland", doi="10.1109/ITSC.2019.8917374", isbn="978-1-5386-7024-8", url="https://ieeexplore.ieee.org/document/8917374" }