基于多传感器数据融合的机器人测距系统设计

Design of Robot Ranging System Based on Multi-sensor Data Fusion

智能机器人距离测量系统通常使用传感器或视觉方案。但大多机器人测距方案都基于单个距离传感器或两个距离传感器相结合的方案。本文设计了一种多距离传感器测距系统,其根据使用场景而采用多个距离传感器测距,并采用一种基于概率权的方法进行数据融合,使得到的距离数据更加准确。该方案为机器人测距模块提供了一种有效的设计方案,具有适应性强、可靠性强、准确性高等特点。

The ranging system of intelligent robot usually uses sensor or vision scheme.But most robot ranging schemes are based on a single distance sensor or a combination of two distance sensors.In this paper,a multi-sensor ranging system scheme is designed,which uses multiple ranging sensors for distance measurement according to the use of the scene,and uses a method based on probability weight for data fusion to make the distance data more accurate.The scheme provides an effective design for robot ranging module,which has the characteristics of strong adaptability,strong reliability and high accuracy.