Research on Stereo Matching Algorithm in Intelligent Vehicle Application

Peng He; Feng Gao

doi:10.4028/www.scientific.net/AMM.678.35

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 678Research on Stereo Matching Algorithm in...

Research on Stereo Matching Algorithm in Intelligent Vehicle Application

Abstract:

Perception of environment in front of driving vehicle is a core investigation theme of intelligent vehicle technologies aiming to increase safety, convenience and efficiency of driving. Using stereo vision for environment perception is a hot technology. This paper developed an algorithm for stereo matching in intelligent vehicle application. The experimental results indicate that this algorithm is effective. Furthermore, this algorithm paves the way for the implementation of automotive driver assistance system.

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Periodical:

Applied Mechanics and Materials (Volume 678)

Pages:

35-38

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.678.35

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Online since:

October 2014

Authors:

Peng He*, Feng Gao

Keywords:

Intelligent Vehicle, Matching Algorithm, Stereo Vision

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* - Corresponding Author

References

[1] Z. H. Sun, G. Bebis and R. Miller: On-road vehicle detection: A review, in: IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 28 (2006), p.694.

DOI: 10.1109/tpami.2006.104

Google Scholar

[2] D. Scharstein, R. Szeliski: A taxonomy and evaluation of dense two-frame stereo correspondence algorithms, in: International Journal of Computer Vision Vol. 47 (2002), p.7.

DOI: 10.1109/smbv.2001.988771

Google Scholar

[3] Information on http: /vision. middlebury. edu/stereo.

Google Scholar

[4] G. Zhang, Q. Lu: Research on stereo vision path-planning algorithms for mobile robots autonomous navigation, in: Journal of Chongqing University of Posts and Telecommunications (Natural Science Edition) Vol. 21 (2009), p.154.

Google Scholar

[5] P. He, F. Gao: Study on detection of preceding vehicles based on computer vision, in: Applied Mechanics and Materials Vol. 333 (2013), p.912.

DOI: 10.4028/www.scientific.net/amm.333-335.912

Google Scholar