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计算机工程 ›› 2011, Vol. 37 ›› Issue (01): 184-186. doi: 10.3969/j.issn.1000-3428.2011.01.064

• 人工智能及识别技术 • 上一篇    下一篇

巡线导航智能车的路径优化

章登鹏,谭 彧   

  1. (中国农业大学工学院,北京 100083)
  • 出版日期:2011-01-05 发布日期:2010-12-31
  • 作者简介:章登鹏(1988-),男,学士,主研方向:车辆工程;谭 彧,教授、博士、博士生导师
  • 基金资助:
    国家大学生创新性实验计划基金资助项目(091001932)

Path Optimization of Line-tracking Navigation Smart Car

ZHANG Deng-peng, TAN Yu   

  1. (College of Engineering, China Agriculture University, Beijing 100083, China)
  • Online:2011-01-05 Published:2010-12-31

摘要: 针对现实应用中的巡线导航智能车道路检测范围小、路径规划困难的问题,提出增加传感器随动舵机的巡线导航智能车路径优化算法。安装随动摆头舵机带动传感器运动,增大传感器的路径识别范围。采用局部路径优化的方法,构建一个导航传递关系,用以在传感器数据和智能车行驶控制之间建立映射。实验结果表明,增加传感器随动舵机的巡线导航智能车在采用路径优化算法之后视觉范围增大,能改善巡线导航智能车的行驶性能,提高了寻线的可靠性,增大了巡线速度。

关键词: 智能车, 导航, 路径优化

Abstract: Aiming at conventional smart car small visual range which affects path optimization, this paper proposes a control system of intelligent line-tracking vehicle with large vision based on servo driven sensor movement. It installs a servo driving motion sensor, increases the sensor range of the path identification. It uses a local path optimization, construction of a transitive relation, to create a mapping between sensor data and intelligent control of vehicle driving. Experimental results show that, installing a servo drive motion sensor and using a local path optimization, this control system increases path identification range, improves driving performance and the reliability of search lines, and increases the speed of transmission line.

Key words: smart car, navigation, path optimization

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