基于激光距离传感器的实用移动机器人测绘系统的设计

Yu-Cheol Lee, Wopil Yu
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引用次数: 3

摘要

本文提出了一种高效的测绘系统,并在配备激光距离传感器和航位推算传感器的移动小车上实现。能够在未知环境中生成精确地图的实用测绘系统是对移动机器人的主要要求之一。该测绘系统分为硬件和软件两部分。硬件部分,移动小车,包括两个编码器,一个激光测距传感器和一个DSP板。两个编码器安装在每个移动车的后轮测量行进的距离。激光距离传感器测量最近的物体到传感器的距离。DSP板将编码器和激光传感器的测量数据同步并提供给软件部分。软件部分基于扩展卡尔曼滤波(EKF)定位在环境中构建度量地图,同时考虑编码器行进的距离和激光传感器采集的信息来估计移动小车的位置。该系统满足了对简单、用户友好的地图系统的需求,可用于探索和构建机器人环境中的地图。该策略是基于人机交互系统设计和强大的数学基础研究;这是我们方法的显著特征,也是本文的主要原创性贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The design of practical mapping system for mobile robots using laser range sensor
This paper proposed an efficient mapping system which has been implemented on a mobile cart equipped with a laser range sensor and dead reckoning sensors. The practical mapping system to generate accurate maps in unknown environments is one of the main requirements for mobile robots. The mapping system is divided into hardware and software parts. The hardware part, mobile cart, consisted of two encoders, a laser range sensor and a DSP board. Two encoders mounted on each back wheel of the mobile cart measure the distance traveled. The laser range sensor measures the distance from the nearest object to the sensor. The DSP board synchronizes the measured data from the encoders and the laser sensor and provides them to software part. The software part builds a metric map in the environment based on extended Kalman filter (EKF) localization that takes into account both the distance traveled by encoders and the information gathered by laser sensor to estimating the position of mobile cart. The proposed system accommodates the demand for the modest and user-friendly mapping system which can be used to explore and construct the map into the robot environment. This strategy is based on a human-interactive system design and a strong mathematical foundations research; this is the distinctive feature of our approach and constitutes the main original contribution of this paper.
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