• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>IEEE International Conference on Vehicular Electronics and Safety >Multi-sensor fusion method using kalman filter to improve localization accuracy based on android smart phone
【24h】

Multi-sensor fusion method using kalman filter to improve localization accuracy based on android smart phone

机译：基于安卓智能手机的利用卡尔曼滤波提高定位精度的多传感器融合方法

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Android smart phone can be used in ITS (Intelligent Transportation Systems) to obtain people and vehicle's location since it is integrated with GPS, direction sensor and acceleration sensor. Because the GPS built in smart phone always has an error of dozens of meters, improving the positioning accuracy is necessary before introducing it into ITS. This paper proposed an approach to improve the accuracy to the street level and get a smooth trajectory without jump points. It is convenient for everyone to use it because almost everyone has a smart phone. Firstly, road-matching algorithm is used to improve the localization accuracy to street level; secondly, speed and direction information are introduced to better reflect the real trajectory; thirdly, Kalman filter is used to eliminate the jump points and make the trajectory smooth; finally, the optimal result obtained from the process of Kalman filter is interpolated to reflect more details. The experiment result shows that the approach is effective.
机译：由于Android智能手机与GPS，方向传感器和加速度传感器集成在一起，因此可以在ITS（智能交通系统）中使用，以获取人员和车辆的位置。由于内置在智能手机中的GPS始终会出现数十米的误差，因此在将其引入ITS之前必须提高定位精度。本文提出了一种提高街道水平精度并获得没有跳跃点的平滑轨迹的方法。每个人都可以方便地使用它，因为几乎每个人都拥有智能手机。首先，采用道路匹配算法将定位精度提高到街道水平。其次，引入速度和方向信息以更好地反映真实轨迹。第三，采用卡尔曼滤波消除跳变点，使轨迹平滑。最后，对从卡尔曼滤波过程中获得的最优结果进行插值以反映更多细节。实验结果表明该方法是有效的。

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