loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2008 Second International Conference on Future Generation Communication and Networking Symposia
Tracking Distance and Velocity Using a Stereo Vision System
December 13-December 15
ISBN: 978-0-7695-3546-3
ASCII Text
x 
 
Young-Chul Lim, Chung-Hee Lee, Soon Kwon, Jong-hun Lee, "Tracking Distance and Velocity Using a Stereo Vision System," Future Generation Communication and Networking Symposia, International Conference on, vol. 3, pp. 48-50, 2008 Second International Conference on Future Generation Communication and Networking Symposia, 2008.
 
 
BibTex
x
 
@article{ 10.1109/FGCNS.2008.42,
author = {Young-Chul Lim and Chung-Hee Lee and Soon Kwon and Jong-hun Lee},
title = {Tracking Distance and Velocity Using a Stereo Vision System},
journal ={Future Generation Communication and Networking Symposia, International Conference on},
volume = {3},
year = {2008},
isbn = {978-0-7695-3546-3},
pages = {48-50},
doi = {http://doi.ieeecomputersociety.org/10.1109/FGCNS.2008.42},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Future Generation Communication and Networking Symposia, International Conference on
TI - Tracking Distance and Velocity Using a Stereo Vision System
SN - 978-0-7695-3546-3
SP48
EP50
A1 - Young-Chul Lim,
A1 - Chung-Hee Lee,
A1 - Soon Kwon,
A1 - Jong-hun Lee,
PY - 2008
VL - 3
JA - Future Generation Communication and Networking Symposia, International Conference on
ER -
 
In this paper, a method to estimate and track the distance and velocity of an obstacle on the road based on a stereo vision system is presented. The distance and velocity can be calculated using the disparity in the stereo vision system. However, the quantization error of the pixels causes a deterioration in accuracy. The sub-pixel interpolation is used to compensate for the error, and then, the distance and velocity are tracked with a strong tracking extended Kalman filter using a constant velocity model (STEKF-CVM). The Monte-Carlo simulation results show that the performance of STEKF-CVM is better than that of other filters.
Citation:
Young-Chul Lim, Chung-Hee Lee, Soon Kwon, Jong-hun Lee, "Tracking Distance and Velocity Using a Stereo Vision System," fgcns, vol. 3, pp.48-50, 2008 Second International Conference on Future Generation Communication and Networking Symposia, 2008
Usage of this product signifies your acceptance of the Terms of Use.