Determination of the Dynamic Vehicle Model Parameters by Means of Computer Vision

  • Daniil A. Loktev
  • Alexey A. Loktev
  • Alexandra V. Salnikova
  • Anna A. Shaforostova
Keywords: vehicle, mode of vertical oscillations, Kelvin-Voight and Maxwell viscoelastic elements, image processing, feature point method, Haar primitives, errors of the first and second kind, car motion parameters


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.

Author Biographies

Daniil A. Loktev

Department of Information Systems and Telecommunications, Bauman Moscow State Technical University, Moscow, Russia

Alexey A. Loktev

Department of Transport Construction, Russian University of Transport (MIIT), Moscow, Russia

Alexandra V. Salnikova

International Laboratory of Statistics of Stochastic Processes and Quantitative Finance of Tomsk State University, Russia and Department of Management Systems and Information Technologies in Building, Voronezh State Technical University, Russia

Anna A. Shaforostova

Department of Radio Engineering, Voronezh State Technical University, Russia

How to Cite
Daniil A. Loktev, Alexey A. Loktev, Alexandra V. Salnikova, & Anna A. Shaforostova. (2019). Determination of the Dynamic Vehicle Model Parameters by Means of Computer Vision. Communications - Scientific Letters of the University of Zilina, 21(3), 28-34.
Mechanical Engineering in Transport