摘要
停车场出入口是基础地图数据,采用传统人工采集方式时效性差。根据车辆进出地下停车场时GPS信号状态改变的特性,融合DR轨迹、车辆状态、陀螺仪倾角等多传感器数据,提出一种众包地图构建方法,使用DBSCAN聚类及多边形生成算法,挖掘出地下停车场区域范围、出入口及其通行方向。结果表明,该方法提取的出入口数据准确度高,应用于地图数据生产中可实现数据动态更新。导航时将起终点绑定到出入口道路上,可提供最优路线,指引用户进出停车场,改善用户体验。
The gateway to the underground parking lot is basic map data.It’s difficult to guarantee data freshness under manual data collection conditions.According to the characteristics of GPS signal state change when vehicles enter and leave the underground parking lot,and the multi-sensor data such as DR track,vehicle state and gyroscope angle are integrated,a method of building crowdsourcing map is proposed.DBSCAN clustering and polygon generation algorithm are used to excavate the area range,entrance and exit of the underground parking lot and its traffic direction.The results show that the accuracy of gateway extracted by using this method is high.Application in map data production can implement dynamic data update.During navigation,the start and end points are bound to the access road,which can provide the best route,guide users to enter and exit the parking lot,and improve the user experience.
作者
蒋民锋
JIANG Minfeng(Banma Network Technology Co.,Ltd.,Shanghai 201100,China)
出处
《现代信息科技》
2020年第4期54-56,61,共4页
Modern Information Technology
关键词
车辆轨迹
密度聚类
停车场出入口
多传感器融合
末端导航
vehicle trajectory
density clustering
gateway of parking lot
multi-sensor fusion
terminal navigation