Intelligent Vehicle Navigation System Based on Multi-Visual Cognition Information

Jing Bao Yang; Gao Wei Zhang; Chun Lei Song; Zhong Hong Shen

doi:10.4028/www.scientific.net/AMR.671-674.2893

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 671-674Intelligent Vehicle Navigation System Based on...

Intelligent Vehicle Navigation System Based on Multi-Visual Cognition Information

Abstract:

Visual cognition system is an important research content of intelligent vehicle control system. This paper researched traffic lights recognition, lane line identification and traffic sign recognition which consist of vehicle intelligent multi-visual cognition system. The intelligent vehicle navigation system based on multi-visual cognition information fusion was also built and some algorithms had been tested on the real unmanned vehicle which led a good result.

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Periodical:

Advanced Materials Research (Volumes 671-674)

Pages:

2893-2898

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.671-674.2893

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Online since:

March 2013

Authors:

Jing Bao Yang, Gao Wei Zhang, Chun Lei Song, Zhong Hong Shen

Keywords:

Autocorrelation, Intelligent Vehicle Navigation System, Lane Line Detection, Multi-Visual Cognition, Traffic Lights Detection, Traffic Sign Detection

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