首页> 外国专利> SYSTEM FOR USER RAJECTORY PREDICTION BASED ON LEARNED TRAJECTORY MODEL AND GPS LOG AND METHOD THEREOF

SYSTEM FOR USER RAJECTORY PREDICTION BASED ON LEARNED TRAJECTORY MODEL AND GPS LOG AND METHOD THEREOF

机译:基于学习轨迹模型和GPS记录的用户航向预测系统及其方法

摘要

PURPOSE: A system and a method for predicting a route of a user based on a GPS log and a learned route model are provided to easily predict a route where a user is currently moving on based on a current GPS log of the user and a study route model learned by the user in advance. CONSTITUTION: A method for predicting a route of a user based on a GPS log and a learned route model is as follows. A candidate learning route within a minimum boundary range from a current moving coordinate set of a user is extracted among learning routes of the user of a learning route DB(S110). The similarity between the current moving coordinate set and the candidate learning route is calculate so that the candidate learning route in which the similarity is the highest is decided(S120). The validity with respect to only the decided candidate learning route(S130).
机译:目的:基于GPS日志和学习的路线模型来预测用户的路线的系统和方法被提供以基于用户的当前GPS日志和研究来容易地预测用户当前正在行驶的路线。用户预先学习的路由模型。构成:一种基于GPS日志和学习的路线模型预测用户路线的方法如下。在学习路线DB的用户的学习路线中,从用户的当前移动坐标集提取最小边界范围内的候选学习路线(S110)。计算当前移动坐标集与候选学习路线之间的相似度,从而确定相似度最高的候选学习路线(S120)。仅针对所确定的候选学习路径的有效性(S130)。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

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