运动规划
草坪
计算机科学
导线
路径(计算)
混乱的
传感器融合
实时计算
边界(拓扑)
人工智能
分布式计算
控制工程
计算机视觉
工程类
数学
大地测量学
数学分析
机器人
生物
植物
程序设计语言
地理
作者
Maria Hoffmann,Joachim Clemens,David Stronzek-Pfeifer,Ruggero Simonelli,Andreas Serov,Sven Schettino,Margareta Runge,Kerstin Schill,Christof Buskens
标识
DOI:10.1109/irc55401.2022.00046
摘要
In this paper, we present a concept for automatic path planning and high-precision localization for autonomous lawn mowers. In particular, two objectives contribute to the increased efficiency of the presented approach compared to classical automatic lawn mowing techniques. First, the standard chaotic control of the mower is replaced by an efficient planning strategy for traversing the area without gaps and with as few overlaps as possible. Second, the conventional boundary wires become unnecessary as high-precision localization based on multi-sensor fusion allows for keeping the virtual boundaries. The whole concept is implemented and tested on an industrial-grade lawn mower. The advantages of intelligent path planning over chaotic strategies are shown, and the localization performance is validated using real-world data.
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