By Topic

Experimental Study on Camera Calibration and Pose Estimation for the Application to Vehicle's Wheel Alignment

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

6 Author(s)
Mun-soo Park ; Department of Electrical and Computer Engineering, Ajou University, Suwon, Korea. Tel : +82-31-219-2489; E-mail: ; Ji-wook Kwon ; Minho Park ; Jung Su Kin
more authors

In this paper, we discuss about the experimental results of camera calibration and pose estimation for the application to vehicle's wheel alignment system using single camera. At first, we define a camera model for the camera system considered. For this model which consists of a linear part (ideal pinhole camera model) and a nonlinear part (lens distortion model), we drive a systematic and iterative calibration algorithm and pose estimation algorithm. In addition, we develop a coordinate matching algorithm which calculates matched sequence of order in both extracted image coordinate and object coordinate for non-interactive calibration and pose estimation. Based on the results of calibration, we also develop a camera simulator to confirm the results of calibration and compare the results of simulations with those of experiments in pose estimation

Published in:

2006 SICE-ICASE International Joint Conference

Date of Conference:

18-21 Oct. 2006