Towards autonomous mapping in agriculture: A review of supportive technologies for ground robotics

被引：34

作者：

Fasiolo, Diego Tiozzo ^{[1
]}

Scalera, Lorenzo ^{[1
]}

Maset, Eleonora ^{[1
]}

Gasparetto, Alessandro ^{[1
]}

机构：

[1] Univ Udine, Polytech Dept Engn & Architecture, Via Sci 206, Udine 33100, Italy

来源：

ROBOTICS AND AUTONOMOUS SYSTEMS | 2023年 / 169卷

关键词：

Mobile robotics; Agriculture; Localization; Mapping; Path planning; Artificial intelligence; TERRESTRIAL LASER SCANNER; MOBILE ROBOT; PRECISION AGRICULTURE; SIMULTANEOUS LOCALIZATION; ARTIFICIAL-INTELLIGENCE; NAVIGATION ALGORITHM; YIELD ESTIMATION; PATH PLANNER; LIDAR; SYSTEM;

D O I：

10.1016/j.robot.2023.104514

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper surveys the supportive technologies currently available for ground mobile robots used for autonomous mapping in agriculture. Unlike previous reviews, we describe state-of-the-art approaches and technologies aimed at extracting information from agricultural environments, not only for navigation purposes but especially for mapping and monitoring. The state-of-the-art platforms and sensors, the modern localization techniques, the navigation and path planning approaches, as well as the potentialities of artificial intelligence towards autonomous mapping in agriculture are analyzed. According to the findings of this review, many examples of recent mobile robots provide full navigation and autonomous mapping capability. Significant resources are currently devoted to this research area, in order to further improve mobile robot capabilities in this complex and challenging field. (c) 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

引用

页数：34

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