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Promet - Traffic&Transportation journal

Accelerating Discoveries in Traffic Science

Accelerating Discoveries in Traffic Science

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PUBLISHED
24.02.2016
DOI
https://doi.org/10.7307/ptt.v28i1.1752
ISSUE
2016 (Vol 28), Issue 1
LICENSE
Copyright (c) 2024 Vidas Žuraulis, Dalius Matuzevičius, Artūras Serackis
Creative Commons 4.0 logo
This work is licensed under a
Creative Commons Attribution-NonCommercial-
NoDerivatives 4.0 International License.

A Method for Automatic Image Rectification and Stitching for Vehicle Yaw Marks Trajectory Estimation

Authors:

Vidas Žuraulis
Vilnius Gediminas Technical University

Dalius Matuzevičius
Vilnius Gediminas Technical University

Artūras Serackis
Vilnius Gediminas Technical University

Keywords:accident reconstruction, image alignment and stitching, critical speed equation, yaw marks, vehicle trajectory,

Abstract

The aim of this study has been to propose a new method for automatic rectification and stitching of the images taken on the accident site. The proposed method does not require any measurements to be performed on the accident site and thus it is frsjebalaee of measurement errors. The experimental investigation was performed in order to compare the vehicle trajectory estimation according to the yaw marks in the stitched image and the trajectory, reconstructed using the GPS data. The overall mean error of the trajectory reconstruction, produced by the method proposed in this paper was 0.086 m. It was only 0.18% comparing to the whole trajectory length.

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Show more
How to Cite
Žuraulis, V. (et al.) 2016. A Method for Automatic Image Rectification and Stitching for Vehicle Yaw Marks Trajectory Estimation. Traffic&Transportation Journal. 28, 1 (Feb. 2016), 23-30. DOI: https://doi.org/10.7307/ptt.v28i1.1752.

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