Tracking distance and velocity using a stereo vision system

Young Chul Lim; Chung Hee Lee; Soon Kwon; Jong Hun Lee

doi:10.1109/FGCNS.2008.42

Tracking distance and velocity using a stereo vision system

Young Chul Lim, Chung Hee Lee, Soon Kwon, Jong Hun Lee

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

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.

Original language	English
Title of host publication	Proceedings - 2008 2nd International Conference on Future Generation Communication and Networking Symposia, FGCN 2008
Pages	48-50
Number of pages	3
DOIs	https://doi.org/10.1109/FGCNS.2008.42
State	Published - 2008
Event	2008 2nd International Conference on Future Generation Communication and Networking Symposia, FGCN 2008 - Hainan, China Duration: 13 Dec 2008 → 15 Dec 2008

Publication series

Name	Proceedings of the 2008 2nd International Conference on Future Generation Communication and Networking, FGCN 2008
Volume	3

Conference

Conference	2008 2nd International Conference on Future Generation Communication and Networking Symposia, FGCN 2008
Country/Territory	China
City	Hainan
Period	13/12/08 → 15/12/08

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10.1109/FGCNS.2008.42

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Lim, Y. C., Lee, C. H., Kwon, S., & Lee, J. H. (2008). Tracking distance and velocity using a stereo vision system. In Proceedings - 2008 2nd International Conference on Future Generation Communication and Networking Symposia, FGCN 2008 (pp. 48-50). Article 4813545 (Proceedings of the 2008 2nd International Conference on Future Generation Communication and Networking, FGCN 2008; Vol. 3). https://doi.org/10.1109/FGCNS.2008.42

@inproceedings{07085d2c6cd84621a748ce7113520df7,

title = "Tracking distance and velocity using a stereo vision system",

abstract = "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.",

author = "Lim, {Young Chul} and Lee, {Chung Hee} and Soon Kwon and Lee, {Jong Hun}",

year = "2008",

doi = "10.1109/FGCNS.2008.42",

language = "English",

isbn = "9780769535463",

series = "Proceedings of the 2008 2nd International Conference on Future Generation Communication and Networking, FGCN 2008",

pages = "48--50",

booktitle = "Proceedings - 2008 2nd International Conference on Future Generation Communication and Networking Symposia, FGCN 2008",

note = "2008 2nd International Conference on Future Generation Communication and Networking Symposia, FGCN 2008 ; Conference date: 13-12-2008 Through 15-12-2008",

}

Lim, YC , Lee, CH , Kwon, S & Lee, JH 2008, Tracking distance and velocity using a stereo vision system. in Proceedings - 2008 2nd International Conference on Future Generation Communication and Networking Symposia, FGCN 2008., 4813545, Proceedings of the 2008 2nd International Conference on Future Generation Communication and Networking, FGCN 2008, vol. 3, pp. 48-50, 2008 2nd International Conference on Future Generation Communication and Networking Symposia, FGCN 2008, Hainan, China, 13/12/08. https://doi.org/10.1109/FGCNS.2008.42

Tracking distance and velocity using a stereo vision system. / Lim, Young Chul ; Lee, Chung Hee ; Kwon, Soon et al.
Proceedings - 2008 2nd International Conference on Future Generation Communication and Networking Symposia, FGCN 2008. 2008. p. 48-50 4813545 (Proceedings of the 2008 2nd International Conference on Future Generation Communication and Networking, FGCN 2008; Vol. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Kwon, Soon

AU - Lee, Jong Hun

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

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DO - 10.1109/FGCNS.2008.42

M3 - Conference contribution

AN - SCOPUS:67650241970

SN - 9780769535463

T3 - Proceedings of the 2008 2nd International Conference on Future Generation Communication and Networking, FGCN 2008

SP - 48

EP - 50

BT - Proceedings - 2008 2nd International Conference on Future Generation Communication and Networking Symposia, FGCN 2008

T2 - 2008 2nd International Conference on Future Generation Communication and Networking Symposia, FGCN 2008

Y2 - 13 December 2008 through 15 December 2008

ER -

Lim YC , Lee CH , Kwon S , Lee JH. Tracking distance and velocity using a stereo vision system. In Proceedings - 2008 2nd International Conference on Future Generation Communication and Networking Symposia, FGCN 2008. 2008. p. 48-50. 4813545. (Proceedings of the 2008 2nd International Conference on Future Generation Communication and Networking, FGCN 2008). doi: 10.1109/FGCNS.2008.42

Tracking distance and velocity using a stereo vision system

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