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Research of intelligent car dual-navigation system based on complex environment
Bao, Guang-Bin; Zhang, Le; Zhao, Hong
2019
会议日期July 1, 2017 - July 2, 2017
会议地点Changchun, China
关键词Intelligent systems Intelligent vehicle highway systems Navigation systems Autonomous navigation Complex environments External environments Intelligent cars Navigation modes Recognition Single chip micyoco Visual Navigation
卷号503
DOI10.1007/978-981-13-0302-9_33
页码331-340
英文摘要The visual path recognition is one of the most important means of intelligent Car navigation. However, it is still faces with many challenges to realize accurate visual navigation in complex environment. As a supplement, manual navigation has the characteristic of high reliability and high flexibility. In this paper, the intelligent car was provided with two navigation modes which can be switched in real time. The first mode adopted the combination between MC9SXS128 Single Chip Micyoco (SCM) as the core controller and a COMS camera to achieve autonomous navigation. The second mode, manual navigation, was brought about by a Play Station 2 (PS2) handle connected to the above SCM mediately. This combination of two navigation mode above is called dual-navigation system. Finally, the experiment results show that the autonomous navigation is competent in navigation task in general complex environment, and it is able to overcome the interference from external environment effectively, such as shadow generated by the backlight and uneven lighting. Besides, manual navigation is quite qualified for navigation tasks in non-general complex environment. And two navigation modes work in with each other well. © Springer Nature Singapore Pte Ltd. 2019.
会议录Lecture Notes in Electrical Engineering
会议录出版者Springer Verlag
语种英语
ISSN号18761100
内容类型会议论文
源URL[http://ir.lut.edu.cn/handle/2XXMBERH/117959]  
专题计算机与通信学院
网络与信息中心
作者单位School of Computer and Communication, Lanzhou University of Technology, Lanzhou; 730050, China
推荐引用方式
GB/T 7714
Bao, Guang-Bin,Zhang, Le,Zhao, Hong. Research of intelligent car dual-navigation system based on complex environment[C]. 见:. Changchun, China. July 1, 2017 - July 2, 2017.
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