摘要
为了在较短时间内实现高精度的车位自动检测与定位研究,提出了激光传感技术的车位自动检测和定位。选取激光传感技术采集车位信息,利用数据聚类方法预处理车位信息数据,提升车位自动检测与定位精度,将完成预处理数据通过扩展卡尔曼滤波方法获取车位各点集合所存在的位置偏移以及角度偏移,根据取偏移量实现车位精准检测与定位。实验结果表明,该方法可实现高精度车位自动检测和定位,自动检测与定位车位的位置平均误差和尺寸平均误差小,可在短时间内实现车位自动检测与定位,具有较高的应用性。
In order to realize high precision automatic detection and positioning of parking spaces in a short time,the automatic detection and positioning of parking spaces based on laser sensing technology is proposed.The laser sensor technology is selected to collect parking space information,and the data clustering method is used to preprocess parking space information data,so as to improve automatic detection and positioning accuracy of parking spaces.The pre-processing data are obtained through the extended Kalman filter method to obtain position offset and angle offset of each point set of parking spaces,and realize accurate detection and positioning of parking spaces according to the offset.The experimental results show that the method can achieve high-precision automatic detection and positioning of parking spaces,the average position error and size average error of automatic detection and positioning parking spaces are small,can realize automatic detection and positioning of parking spaces in a short time,and has high applicability.
作者
张晓娟
邹存名
ZHANG Xiaojuan;ZOU Cunming(College of Mechanical Engineering,Dalian University of Science and Technology,Dalian Liaoning 116000,China)
出处
《激光杂志》
北大核心
2020年第11期37-41,共5页
Laser Journal
基金
辽宁省教育厅科学研究项目(No.L2019001)。
关键词
激光传感技术
车位
自动检测
定位
数据聚类
卡尔曼滤波
laser sensing technology
parking space
automatic detection
positioning
data clustering
Kalman filter
