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, Scopu...

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Published inJournal of field robotics Vol. 41; no. 5; pp. 1617 - 1642
Main Authors Wang, Kaiwen, Kooistra, Lammmert, Pan, Ruoxi, Wang, Wensheng, Valente, João
Format Journal Article
LanguageEnglish
Published Hoboken Wiley Subscription Services, Inc 01.08.2024
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Abstract 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.
AbstractList 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.
Author Wang, Wensheng
Wang, Kaiwen
Valente, João
Kooistra, Lammmert
Pan, Ruoxi
Author_xml – sequence: 1
  givenname: Kaiwen
  surname: Wang
  fullname: Wang, Kaiwen
  organization: Chinese Academy of Agriculture Sciences
– sequence: 2
  givenname: Lammmert
  surname: Kooistra
  fullname: Kooistra, Lammmert
  organization: Wageningen University & Research
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  givenname: Ruoxi
  surname: Pan
  fullname: Pan, Ruoxi
  organization: Warwick University
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  givenname: Wensheng
  surname: Wang
  fullname: Wang, Wensheng
  organization: Chinese Academy of Agriculture Sciences
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  givenname: João
  orcidid: 0000-0002-6241-4124
  surname: Valente
  fullname: Valente, João
  email: joao.valente@wur.nl
  organization: Wageningen University & Research
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Snippet This study aims to investigate the current knowledge of unmanned aerial vehicle (UAV)‐based simultaneous localization and mapping (SLAM) in outdoor...
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SubjectTerms Algorithms
Localization
Sensors
Simultaneous localization and mapping
SLAM
UAVs
Unmanned aerial vehicles
Title UAV‐based simultaneous localization and mapping in outdoor environments: A systematic scoping review
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Frob.22325
https://www.proquest.com/docview/3074265627
Volume 41
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