Fusion of omni-directional sonar and omni-directional vision for environment recognition of mobile robots

T. Yata, A. Ohya, S. Yuta
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引用次数: 14

Abstract

This paper propose a new method of sensor fusion of an omni-directional ultrasonic sensor and an omnidirectional vision sensor. A new omni-directional sonar, which we developed, can measure accurate distance and direction of reflecting points, and an omnidirectional vision can give direction to edges of segment. We propose a sensor fusion method using both the reflecting points measured by the sonar and the edges of segment measured by the vision, based on the angles. Those data are different in character, so they compensate each other in the proposed method, and it becomes possible to get better information which are useful for environment recognition of mobile robots. We describe the proposed method and an experimental result to show its potential.
全向声纳与全向视觉融合用于移动机器人环境识别
本文提出了一种全向超声传感器与全向视觉传感器融合的新方法。研制了一种新型的全向声纳,可以准确测量反射点的距离和方向,全向视觉可以给出线段边缘的方向。我们提出了一种基于角度的传感器融合方法,利用声纳测量的反射点和视觉测量的线段边缘进行融合。这些数据具有不同的特征,因此在本文提出的方法中,这些数据可以相互补偿,从而可以获得更好的信息,从而为移动机器人的环境识别提供有用的信息。我们描述了所提出的方法和实验结果,以显示其潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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