LI Cui-ming
School of Mechanical and Electronical Engineering, Lanzhou University of Technology, Lanzhou 730050, China
CHEN Jian
School of Mechanical and Electronical Engineering, Lanzhou University of Technology, Lanzhou 730050, China
YANG Ping
School of Mechanical and Electronical Engineering, Lanzhou University of Technology, Lanzhou 730050, China
REN Yan-hong
School of Mechanical and Electronical Engineering, Lanzhou University of Technology, Lanzhou 730050, China
ABSTRACT
This study aims to tackle the obstacle vehicle identification problems when an intelligent vehicle is in motion. The obstacle vehicle identification is realized by using the grade criteria such as gray scales of pixels to determine the characteristics of the shadow cast by the bottom of obstacles ahead of the intelligent vehicle in motion and by analyzing the texture features of the obstacle vehicle. Computer simulation is performed against data for identifying and handling the obstacles. The results show that the obstacle identification algorithm based on characteristics is able to identify obstacles fast and its computing is simple with high reliability.
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How to cite this article
LI Cui-ming, CHEN Jian, YANG Ping and REN Yan-hong, 2013. Application of Obstacle Identification Algorithm Based on Characteristics
to Intelligent Vehicle. Information Technology Journal, 12: 7160-7164.
DOI: 10.3923/itj.2013.7160.7164
URL: https://scialert.net/abstract/?doi=itj.2013.7160.7164
DOI: 10.3923/itj.2013.7160.7164
URL: https://scialert.net/abstract/?doi=itj.2013.7160.7164
REFERENCES
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CrossRef - Liu, Z.Q. and H. Wen, 2007. Monocular vision-based vehicle collision warning System. Comput. Appl., 27: 2056-2058.
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