A multisensor fusing system on ultrasonic sensors

Hao Jifei, Lintao Xiang, Yang Dashun
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引用次数: 3

Abstract

In the application of an industrial robot, it is often found that the workspace is restructured or changed from time to time, as with for example mining robots or some construction robots. In some special cases, where for example there is dust or insufficient illumination in the environment, the use of sensors is limited. Ultrasonic sensors have been widely used in the robot application for its simplicity and low cost. However, determining accurate distance and direction of the obstacle from ultrasonic sensors is quite difficult due to the expanding beam of the ultrasonic waves. The uncertainty about the distance and direction information limits the further application of ultrasonic sensors. In order to use ultrasonic sensors efficiently, a blackboard strategy for multiple ultrasonic sensors is developed in this paper. Based on the blackboard, information of the inner sensors of robot and information from ultrasonic sensors are integrated and fused at the data-level, character level and decision level. Finally, a simulation shows that the uncertainty of the distance and direction information has been eliminated to some degree and a more accurate workspace has been obtained.
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超声传感器多传感器融合系统
在工业机器人的应用中,经常会发现工作空间不时被重构或改变,例如采矿机器人或一些建筑机器人。在一些特殊情况下,例如环境中有灰尘或照明不足,传感器的使用受到限制。超声波传感器以其简单、低成本的特点在机器人中得到了广泛的应用。然而,由于超声波光束的膨胀,从超声波传感器确定障碍物的准确距离和方向是相当困难的。距离和方向信息的不确定性限制了超声传感器的进一步应用。为了有效地利用超声波传感器,本文提出了一种多超声波传感器的黑板策略。在黑板的基础上,对机器人内部传感器的信息和超声波传感器的信息进行了数据级、特征级和决策级的集成和融合。仿真结果表明,该方法在一定程度上消除了距离和方向信息的不确定性,得到了更精确的工作空间。
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