• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>2016 International Conference on Advanced Robotics and Mechatronics >A consistency measure computing algorithm based on the combination of support degree and correlation degree in multi-sensor systems
【24h】

A consistency measure computing algorithm based on the combination of support degree and correlation degree in multi-sensor systems

机译：支持度和相关度相结合的多传感器系统一致性度量计算算法

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

Most of extant works, focusing on disposing of invalid and erroneous information from certain sensors in a multi-sensor system, generally process the data from the same time point, which leads to incredibility in some certain moment. To solve this problem, this paper proposes a method to detect and order the credibility of every sensor from the perspective of both specific time points and time axis, to gain a more reliable outcome than methods only using data collected from one time. In every certain time point, a support degree is defined and calculated to measure the credibility of each sensor, then we combine the support degree with linear dependency degree, which is depended on the length of the size of sliding window. All these procedures can be applied before data fusion to help removing those data with low quality and precision. The outcome of experimentation verifies the algorithm to be an effective one.
机译：现有的大多数工作着重于处理来自多传感器系统中某些传感器的无效信息和错误信息，这些数据通常处理来自同一时间点的数据，这在某些时刻导致不可思议。为了解决这个问题，本文提出了一种从特定时间点和时间轴的角度检测和排序每个传感器的可信度的方法，以获得比仅使用一次收集的数据的方法更可靠的结果。在每个特定时间点，定义并计算支撑度以测量每个传感器的可信度，然后将支撑度与线性相关度相结合，线性度取决于滑动窗口大小的长度。可以在数据融合之前应用所有这些过程，以帮助删除质量低，精度高的数据。实验结果证明该算法是有效的。

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