@inproceedings{d215be7867ce4aedadc5ac9ac56ae352,
title = "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.",
keywords = "Autocorrelation, Intelligent vehicle navigation system, Lane line detection, Multi-visual cognition, Traffic lights detection, Traffic sign detection",
author = "Yang, \{Jing Bao\} and Zhang, \{Gao Wei\} and Song, \{Chun Lei\} and Shen, \{Zhong Hong\}",
year = "2013",
doi = "10.4028/www.scientific.net/AMR.671-674.2893",
language = "English",
isbn = "9783037856611",
series = "Advanced Materials Research",
pages = "2893--2898",
booktitle = "Construction and Urban Planning",
note = "2013 International Conference on Structures and Building Materials, ICSBM 2013 ; Conference date: 09-03-2013 Through 10-03-2013",
}