文献类型：期刊文献

中文题名：基于扩展卡尔曼滤波的车位智能定位方法

英文题名：Research on Intelligent Parking Location Based on Extended Kalman Filter

作者：刘祥[1];杨永强[2]

第一作者：刘祥

机构：[1]中国电信股份有限公司河南分公司,河南郑州450016;[2]河南财经政法大学计算机与信息工程学院,河南郑州450002

第一机构：中国电信股份有限公司河南分公司,河南郑州450016

年份：2021

卷号：37

期号：8

起止页码：190-192

中文期刊名：微型电脑应用

外文期刊名：Microcomputer Applications

收录：CSTPCD

语种：中文

中文关键词：车位智能定位;信息获取;卡尔曼滤波算法;位置偏移;定位效率

外文关键词：parking intelligent positioning;information acquisition;Kalman filter algorithm;position offset;positioning efficiency

摘要：为了解决当前车位自动定位过程中存在的定位误差大,定位效率低等难题,以获得更优的车位自动定位结果,提出基于扩展卡尔曼滤波的车位智能定位方法。首先对车位定位的相关信息进行采集,并对信息进行一定的预处理,去除其中一些无用信息,然后引入扩展卡尔曼滤波算法计算车位的位置和角度偏移情况,并根据结果进行车位智能定位,最后与其他车位智能定位方法进行了对比测试,结果表明,相对于其他车位智能定位方法,扩展卡尔曼滤波算法可以提升车位智能定位精度,不仅减少了车位智能定位误差,而且缩短了车位智能定位时间,可以更快实现车位智能定位。
In order to solve the problems of large positioning error and low positioning efficiency in the current parking space automatic positioning process,and obtain better parking space automatic positioning results,this paper proposes an intelligent parking space positioning method based on extended Kalman filter.Firstly,the relevant information of parking location is collected and preprocessed to remove some useless information.Then,the extended Kalman filter algorithm is introduced to calculate the position and angle offset of parking space,and the intelligent positioning of parking space is carried out according to the results.Finally,it is compared with other intelligent positioning methods,and the results show that the proposed method is more effective.The extended Kalman filter algorithm can improve the parking intelligent positioning accuracy,reduce the parking intelligent positioning error,and shorten the parking intelligent positioning time,can realize the parking intelligent positioning faster.