Mobile Robot Localization Using Soft Sensor

Xiao Li, Dan Wang, Yancheng Liu, Zhouhua Peng
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Abstract

This paper presents a new approach to fuse information in special form. To determine the position and heading of mobile robot, the information from fixation vision geometric constraint must be exploited. However, geometric constraint is not measurement data from sensor, cannot be fused directly. Therefore the concept of “soft sensor” is adopted. Its application to mobile robot localization is shown with simulation in this paper.
基于软传感器的移动机器人定位
本文提出了一种特殊形式信息融合的新方法。为了确定移动机器人的位置和方向,必须利用固定视觉的几何约束信息。然而,几何约束不是来自传感器的测量数据,不能直接融合。因此采用了“软传感器”的概念。通过仿真说明了该方法在移动机器人定位中的应用。
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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