Radiotekhnika
Publishing house Radiotekhnika

"Publishing house Radiotekhnika":
scientific and technical literature.
Books and journals of publishing houses: IPRZHR, RS-PRESS, SCIENCE-PRESS


Тел.: +7 (495) 625-9241

 

The possibility to determine the dynamic parameters of vehicles in an automated monitoring and measurement system

DOI 10.18127/j19997493-201803-05

Keywords:

D.A. Loktev – Ph.D.(Eng.), Associate Professor, Department «Information Systems and Telecommunications», Bauman Moscow State Technical University
E-mail: loktevdan@bmstu.ru
A.A. Loktev – Dr.Sc.(Phys.-Math.), Professor, Head of Department «Transport Construction», Russian University of Transport (MIIT)
E-mail: aaloktev@yandex.ru


The method for determining the dynamic parameters of vehicles using an image analysis of an object is considered. Mathematical models for the behavior of the wheel pair and the body during motion using the D'Alembert principle and the Coulomb model of a viscoelastic body of the Kelvin-Voigt type are proposed. A model with two degrees of freedom, viscous and elastic elements for de-scribing the interaction between the mass of the vehicle body, the mass of the wheel pair and the road surface is considered. The design scheme of a vehicle with four degrees of freedom and two wheel pairs for two-axle vehicles is given. The initial conditions for determining the model are given. Algorithmic support for obtaining object offsets is based on the use of characteristic points. To de-termine the optical flow around characteristic points, the Lucas-Kanade method is used.

References:
  1. Gridnev S.Yu., Budkovoj A.N. Dinamicheskoe vozdejstvie avtoczistern s otsekami na put’ pri uchete gidroudara // Stroitel’naya mexanika i konstrukczii. 2012. № 1(4). S. 116−121.
  2. Lopaniczy’n E.A. Modelirovanie vertikal’ny’x kolebanij avtomobilya // Izbranny’e problemy’ prikladnoj mexaniki i matematiki. 2003. S. 208−234.
  3. Sun Z., Bebis G., Miller R. On-road vehicle detection using optical sensors: A review // Proceeding of the IEEE International Conference on Intelligent Transportation Systems. 2004. V. 6. P. 125−137.
  4. Loktev A.A., Loktev D.A. Metod opredeleniya rasstoyaniya do ob’‘ekta putem analiza razmy’tiya ego izobrazheniya // Vestnik MGSU. 2015. № 6. S. 140−151.
  5. Pronin S.P. Kontrol’ parametrov vibraczii ob’‘ekta po opticheskomu izobrazheniyu test-ob’‘ekta na e’krane monitora personal’nogo komp’yutera // Estestvenny’e i texnicheskie nauki (M.: Sputnik+). 2009. № 5(43). S. 268−274.
  6. Lin H.-Y., Chang C.-H. Depth from motion and defocus blur // Optical Engineering. December 2006. V. 45(12). №127201. P. 1−12.
  7. Zhuo S., Sim T. Defocus Map Estimation from a Single Image // Pattern Recognition. 2011. V. 44(9). P. 1852−1858.
  8. Favorskaya M.N., Shilov A.S. Algoritmy’ realizaczii oczenki dvizheniya v sistemax videonablyudeniya // Sistemy’ upravleniya i informaczionny’e texnologii (M.-Voronezh: IPU RAN. VGTU). 2008. № 3.3(33). S. 408−412.
  9. Loktev A.A., Baxtin V.F., Chernikov I.Yu., Loktev D.A. Metodika opredeleniya vneshnix defektov sooruzheniya putem analiza serii ego izobrazhenij v sisteme monitoringa // Vestnik MGSU. 2015. № 3. S. 7−16.
  10. Loktev A.A., Alfimczev A.N., Loktev D.A. Algoritm razmeshheniya videokamer i ego programmnaya realizacziya // Vestnik MGSU. 2012. № 5. S. 167−175.
  11. Lucas B.D., Kanade T. An iterative image registration technique with an application to stereo vision // Proc. of Imaging Understanding Workshop. 1981. P. 121−130.
  12. Sy’chev V.P., Loktev A.A., Loktev D.A., Izotov K.A. Modelirovanie sistemy’ monitoringa zheleznodorozhnogo puti dlya povy’sheniya informativnosti oczenki ego soderzhaniya // Sb. materialov (tezisov) XXXVIII Mezhdunar. konf. RAEN «Mobil’ny’j biznes: perspektivy’ razvitiya i realizaczii sistem radiosvyazi v Rossii i za rubezhom». 2016. S. 11−13.
  13. Loktev A.A., Sy’chev V.P., Loktev D.A., Dmitriev V.G. Avtomatizirovannaya sistema vy’yavleniya defektov koles podvizhnogo sostava na osnove oczenki udarnogo neosesimmetrichnogo vozdejstviya kolesa na rel’s pri modelirovanii verxnego stroeniya puti ortotropnoj plastinoj // Problemy’ mashinostroeniya i avtomatizaczii. 2017. № 4. S. 59−70.
  14. Harris C., Stephens M. A combined corner and edge detector // Proceedings of the 4th Alvey Vision Conference. 1988. P. 147−151.
  15. Loktev A.A., Alfimczev A.N., Loktev D.A. Algoritm raspoznavaniya ob’‘ektov // Vestnik MGSU. 2012. № 5. S. 194−201.
  16. Viola P., Jones M.J. Robust real-time object detection // Proc. of IEEE Workshop on Statistical and Computational Theories of Vision. 2001. P. 126−132.

© Издательство «РАДИОТЕХНИКА», 2004-2017            Тел.: (495) 625-9241                   Designed by [SWAP]Studio