• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEEE transactions on industrial informatics >WAVE-Based Vehicle Localization With Fuzzy Filter for Autopilot in a Free-Flow Toll Station
【24h】

WAVE-Based Vehicle Localization With Fuzzy Filter for Autopilot in a Free-Flow Toll Station

机译：自由流动收费站的自动驾驶台模糊过滤器的基于波的车辆定位

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this article, a wireless access in vehicular environments based localization technology is proposed to supplement the gaps of output frequency for global position system, saving dedicated localization facility. A subcarrier-based reflection filter is used to mitigate multipath effect. A fuzzy vector space and its fuzzy distance of normalized received signal strength indication sequence are formulated to solve the scarce variability problem of the position feature while offsetting common hardware errors and traffic noises. Based on them, the vehicle coordinates are calculated through integrating position feature with fuzzy distance, precise and stable result is achieved. Experiments confirmed its constant centimeter-level accuracy error, millisecond-level execute time as well as ignorable effects of grid size, speed, traffic, and weather. Performances meet the requirements of enforcement, autopilot, and navigation.
机译：在本文中，提出了基于车辆环境的无线访问，用于为全球位置系统提供输出频率的间隙，从而节省专用的本地化设施。基于子载波的反射滤波器用于减轻多径效果。制定了模糊矢量空间及其归一化接收信号强度指示序列的模糊距离，以解决位置特征的稀缺变化问题，同时抵消共同的硬件错误和交通噪声。基于它们，通过将位置特征与模糊距离集成，实现精确且稳定的结果来计算车辆坐标。实验证实了其恒定的厘米级精度误差，毫秒级执行时间以及网格尺寸，速度，交通和天气的无知效果。表演符合执法，自动驾驶仪和导航的要求。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号