摘要
针对车载无人机自动返航降落误差太大的缺点,提出一种基于利用GPS粗定位、运动检测技术细定位相结合的方法。为了实现选择简单且效果好的运动检测技术,使用一种摄像头静止、目标移动的结构方法,最终采用背景减除算法追踪无人机。室外实验结果表明,无人机能被精准追踪,将这种方法与仅仅GPS定位的实验结果进行对比,得出该方法能有效抑制降落误差,具有一定的实际应用价值。
In allusion to the shortcoming of big automatic return landing error existing in vehicle-mounted unmanned aerial vehicle(UAV),a method based on combination of rough GPS localization and fine localization using motion detection technology is proposed. To select a plain and effective motion detection technology,a structural approach with camera static and object moving is employed. The background subtraction algorithm is adopted to track UAV. The outdoor experimental results indicate that the UAV can be tracked precisely,and the method can more effectively suppress the landing error in comparison with the method using only GPS localization and has a certain practical application value.
出处
《现代电子技术》
北大核心
2018年第6期61-64,69,共5页
Modern Electronics Technique
基金
西安石油大学研究生创新基金项目(2015cx140321)资助
教育厅重点科研计划(15JS097
11JS051)~~
关键词
车载无人机
GPS
运动检测技术
自动返航
降落误差
背景减除算法
vehicle-mounted UAV
GPS
motion detection technology
automatic return
landing error
background subtraction algorithm
