Determining the Dynamic Characteristics of Moving Vehicles Using Image Blur Analysis

A method to recognize vehicles on an image and to determine their dynamic characteristics is considered. Control of timely determined characteristics will allow detecting violations of vehicles, including excessive vehicle weight, which leads to increased wear and damage to the roadway. For object d...

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Bibliographic Details
Published in2023 5th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE) Vol. 5; pp. 1 - 6
Main Authors Loktev, Daniil A., Loktev, Alexey A., Korolev, Vadim V., Linenko, Andrey A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 16.03.2023
Subjects
dynamic characteristics
image analysis
Kinematics
mass determination
Mathematical models
object blur
object detection
Roads
Streaming media
Surface roughness
Trajectory
transportation system
Wheels
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Summary:A method to recognize vehicles on an image and to determine their dynamic characteristics is considered. Control of timely determined characteristics will allow detecting violations of vehicles, including excessive vehicle weight, which leads to increased wear and damage to the roadway. For object detection the convolutional neural network is used. Hough and Canny detectors are used to determine object boundaries and wheel axles. The used vehicle model with two axles in detail is described. After detecting and determining the number of wheel axles of the vehicle, a model of vertical oscillations of the vehicle is selected by the passive method of image analysis, and based on the obtained geometric and kinematic parameters, the dynamic characteristics of the vehicle are determined.
ISSN:2831-7262
DOI:10.1109/REEPE57272.2023.10086893