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Determination of the dynamic vehicle model parameters by means of computer vision D. A. Loktev, A. A. Loktev, A. V. Salnikova, A. A. Shaforostova

Contributor(s): Loktev, Alexey A | Salnikova, Alexandra V | Shaforostova, Anna A | Loktev, Daniil AMaterial type: ArticleArticleSubject(s): транспортные средства | компьютерное зрение | параметры движения автомобиля | режим вертикальных колебаний | обработка изображений | метод характерных точек | Хаара примитивыGenre/Form: статьи в журналах Online resources: Click here to access online In: Communications - scientific letters of the University of Zilina Vol. 21, № 3. P. 28-34Abstract: This study is devoted to determining the geometric, kinematic and dynamic characteristics of a vehicle. To this purpose, it is proposed to use a complex approach applying the models of deformable body mechanics for describing the oscillatory movements of a vehicle and the computer vision algorithms for processing a series of object images to determine the state parameters of a vehicle on the road. The model of the vehicle vertical oscillations is produced by means of the viscoelastic elements and the dry friction element that fully enough represent the behavior of the sprung masses. The introduced algorithms and models can be used as a part of a complex system for monitoring and controlling the road traffic. In addition, they can determine both the speed of the car and its dynamic parameters and the driving behavior of the individual drivers.
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Библиогр.: 33 назв.

This study is devoted to determining the geometric, kinematic and dynamic characteristics of a vehicle. To this purpose, it is proposed to use a complex approach applying the models of deformable body mechanics for describing the oscillatory movements of a vehicle and the computer vision algorithms for processing a series of object images to determine the state parameters of a vehicle on the road. The model of the vehicle vertical oscillations is produced by means of the viscoelastic elements and the dry friction element that fully enough represent the behavior of the sprung masses. The introduced algorithms and models can be used as a part of a complex system for monitoring and controlling the road traffic. In addition, they can determine both the speed of the car and its dynamic parameters and the driving behavior of the individual drivers.

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