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Scan Matching Cross-Correlation-Based Localization Algorithm: Embedded Systems Implementation Perspective

机译:扫描匹配基于互相关的定位算法:嵌入式系统实现的观点

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摘要

Localization in an indoor environment is a challenging aspect of an autonomous mobile robot control as such mobile systems typically have limited computational capacity. It is therefore essential to design an algorithm capable of reliable robot’s position calculation and, at the same time, suitable for implementation in embedded devices.This contribution describes a modified point-to-point Scan Matching algorithm based on cross-correlation, which was first introduced in our previous study. The newly developed algorithm running in a single thread is implemented in C language and decreases the computational complexity, i.e. time needed for calculation of the robot’s position, by as much as 20% compared to the original solution implemented in C#. LiDAR sensor was used to test the algorithm.
机译:室内环境中的本地化是自主移动机器人控制的一个具有挑战性的方面,因为此类移动系统通常具有有限的计算能力。因此,必须设计一种能够可靠地进行机器人位置计算的算法,同时又适合在嵌入式设备中实现该算法。这一贡献描述了一种基于互相关的改进的点对点扫描匹配算法,该算法首先是在我们以前的研究中介绍。新开发的在单线程中运行的算法是用C语言实现的,与用C#实现的原始解决方案相比,它减少了计算复杂度(即,计算机器人位置所需的时间)多达20%。使用LiDAR传感器测试算法。

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