基于无人机的室外环境同步定位和测绘:系统性范围审查

IF 4.2 2区 计算机科学 Q2 ROBOTICS
Kaiwen Wang, Lammmert Kooistra, Ruoxi Pan, Wensheng Wang, João Valente
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引用次数: 0

摘要

本研究旨在调查目前对基于无人飞行器(UAV)的室外环境同步定位和绘图(SLAM)的了解,并讨论该领域的挑战和局限性。我们在三个在线数据库(Web of Science、Scopus 和 IEEE)中搜索了 2022 年 10 月之前发表的与基于无人机的 SLAM 相关的文献。还进行了范围审查,以确定关键概念和应用,并发现在使用面向算法和面向任务的开源研究方面存在的研究空白。按照《系统综述和荟萃分析的首选报告项目》,通过系统方法进行两步筛选后,共有 97 项研究符合标准。在符合条件的 97 项研究中,主要分为两类:算法导向研究和任务导向研究。文献分析显示,大多数研究都集中在新算法和算法的开发和实施方面。本综述强调了无人机在不同任务和应用场景中使用传感器的重要性和多样性,这些任务和应用场景使用了不同类型的传感器。与公共数据集和仿真平台的评估方法相比,该评估方法能够显示新算法在目标场景中的真实结果和性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

UAV-based simultaneous localization and mapping in outdoor environments: A systematic scoping review

UAV-based simultaneous localization and mapping in outdoor environments: A systematic scoping review

This study aims to investigate the current knowledge of unmanned aerial vehicle (UAV)-based simultaneous localization and mapping (SLAM) in outdoor environments and to discuss challenges and limitations in this field. A literature search was conducted in three online databases (Web of Science, Scopus, and IEEE) for articles published before October 2022 related to UAV-based SLAM. A scoping review was carried out to identify the key concepts and applications, and discover research gaps in the use of algorithm-oriented and task-oriented, open-source studies. A total of 97 studies met the criteria after conducting a two-step screening by a systematic method followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Among eligible studies, 97 were classified into two main categories: algorithm-oriented studies and task-oriented studies. The analysis of the literature revealed that the majority of the studies were focused on the development and implementation of new algorithms and algorithms. This review highlights the significance and diversity of sensors utilized in UAVs in different tasks and applications scenarios that employ different types of sensors. The evaluation method is able to show the real results and performance of the new algorithms in the target scenarios compared with the evaluation method by the public data set and simulation platform.

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来源期刊
Journal of Field Robotics
Journal of Field Robotics 工程技术-机器人学
CiteScore
15.00
自引率
3.60%
发文量
80
审稿时长
6 months
期刊介绍: The Journal of Field Robotics seeks to promote scholarly publications dealing with the fundamentals of robotics in unstructured and dynamic environments. The Journal focuses on experimental robotics and encourages publication of work that has both theoretical and practical significance.
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