摘要
针对当前车辆导航系统均以二维矢量地图为工作底图,不够直观、精确,同时现实性较差,不能实现小区内的导航,提出一种基于遥感影像的车辆导航技术思路,利用高精度遥感影像作为工作底图,从GPS接收机中得到相关定位信息,将定位点导入经过校准后的遥感图像上.同时为了提高定位精度,在遥感图像上进行道路提取,实现地图匹配,从而达到车辆导航的目的.实验证明,该技术具有较高的直观性和形象性,能满足目前导航需求.
Now the 2D vector map is widely used for the background map in the current vehicle navigation systems. However, there are some deficiencies in the existent systems, such as not intuitive, imprecise and less realistic. In order to overcome the limitations, a new method which is based on remote sensing images and uses high-precision images as the background map is proposed in this paper. And imports receive location information to be calibrated on remote sensing images. In order to improve location precision, the road lines are also picked up to achieve matching map and vehicle navigation. Finally, the experiment result also indicates that the technology is more excellent and intuitive compared with other approaches.
出处
《河南大学学报（自然科学版）》
CAS
北大核心
2010年第1期67-72,共6页
Journal of Henan University:Natural Science
基金
国家863计划资助项目(2007AA12Z238)
关键词
车辆导航
遥感影像
道路提取
地图匹配
vehicle navigation
remote sensing Images
road extraction
map matching
