基于移动机器人的多超声波传感器信息融合

A data fusion algorithm of multi-ultrasonic sensors for mobile robots by using artificial neural networks

智能化是未来机动机器人的发展方向,而智能化的基础是传感器技术的发展,机器人信息融合技术则弥补了使用单传感器带来的缺陷。本文利用多超声波传感器系统获得移动机器人的环境信息,并使用人工神经网络对多传感器信息进行融合,从而达到对被测物体影像比较准确的认识,试验表明效果良好,具有很好的使用价值。

Mobile robots are developing towards intellectualization, which depends on the development of sensor technology. The information fusion technology has overcome the drawback resulting from the application of a single sensor. In this paper, an ultrasonic sensor data fusion method for the mobile robot is presented. The method is that the mobile robot analyses and fuses the messages in surroundings from multrultrasonic sensors by artificial networks to identify the object clearly and guide the mobile robot. The experimental results show that the method is effective.