One of the crucial tasks in the field of automobiles is
the verification of the wheel characteristic angles as the
specification given by the manufacturer. The automation in the
process can be done by the use of machine vision instead of the
conventional way of finding the wheel angels by mounting the
measurement equipment on the wheel. This paper deals with the
contactless measurement of wheel angle by the use of the 3D
stereo vision system. The method in this paper was tested for set
of various images and the error in the angles obtained is with the
Published In : IJCAT Journal Volume 1, Issue 7
Date of Publication : 31 August 2014
Pages : 339 - 344
Tables : 01
Publication Link : Implementation of Machine Vision System for
Finding Defects in Wheel Alignment
Akshay Padegaonkar : Past degree - BE ELECTRONICS ,
past employment Accenture Services Pvt. Ltd. as Senior
Programmer, Currently pursuing M.Tech. EMBEDDED SYSTEMS
[expected completion 2015], Past research - “Design of
Multiparameter Data Acquisition and Control system for 400KV
ECRIS Particle Accelerator System” at Tata Institute of
Fundamental Research, Bombay. Current research interests –
RTOS, Image Processing, Computer Vision. Presently - Graduate
Madhura Brahme : Past degree – BE ELECTRONICS
&TELECOMMUNICATION , Currently pursuing M.Tech.
EMBEDDED SYSTEMS [expected completion 2015], Current
research interests – RTOS, Microcontrollers.
Mohit Bangale : Past degree – BE ELECTRONICS
&TELECOMMUNICATION , currently pursuing M.Tech.
EMBEDDED SYSTEMS [expected completion 2015],Past
research – “Multichannel High Voltage Data Acquisition For
Parameter Measurement Of Photomultiplier Tube” at Tata Institute
of Fundamental Research, & Cosmic Ray Laboratory,
Mumbai/Ooty, India. Current research interests – Image
Processing, Microcontrollers, Computer Vision.
Alex Noel Joseph Raj : Professor, Embedded Systems, School of Electronics Engineering VIT University,
Vellore, Tamil Nadu, India
 Furferi, R., Governi, L., Volpe, Y., & Carfagni, M.
(2013). Design and assessment of a machine vision
system for automatic vehicle wheel alignment.Int J Adv
Robotic Sy, 10(242).
 Pacejka, H. B. (1973). Simplified analysis of steadystate
turning behaviour of motor vehicles part 3: More
elaborate systems. Vehicle System Dynamics,2(4), 185-
 Furukawa, Y., Yuhara, N., Sano, S., Takeda, H., &
MATSUSHITA, Y. (1989). A review of four-wheel
steering studies from the viewpoint of vehicle dynamics
and control. Vehicle System Dynamics, 18(1-3), 151-
 Canny, J. (1986). A computational approach to edge
detection. Pattern Analysis and Machine Intelligence,
IEEE Transactions on, (6), 679-698.
 Bradski, G., & Kaehler, A. (2008). Learning OpenCV:
Computer vision with the OpenCV library. " O'Reilly
 Raj, A. J., & Staunton, R. C. (2007, December).
Estimation of image magnification using phase
correlation. In Conference on Computational
Intelligence and Multimedia Applications, 2007.
International Conference on(Vol. 3, pp. 490-494). IEEE.
 Camera Calibration Toolbox for MatlabAvailable: