摘要
针对移动机器人的测距系统采用红外线与超声波传感器共同测距,避免了因使用单个传感器进行多次测量而降低系统的实时性和产生信号串扰问题。应用自适应加权数据融合算法对实时测量数据进行在线融合估计,实现两种传感器在功能上的互补。实验结果表明,该方法提高了整体测距精度,得到了被测距离更加准确的估计。
The ranging system of the mobile robot ranged with infrared sensor and ultrasonic sensor together,which could avoid the problem that used one sensor ranging many times reduce the system real-time and jam the signal.The adaptive weighted data fusion algorithm estimated the real-time measurement data on-line,and it could realize the complementation as for two kinds of sensors.The experiment result indicated that the algorithm could improve the ranging precision,and obtained more accurate estimation of the distance.
出处
《工业仪表与自动化装置》
2009年第5期26-29,共4页
Industrial Instrumentation & Automation
基金
国家自然科学基金项目资助(60674070)
