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 in | Journal of field robotics Vol. 41; no. 5; pp. 1617 - 1642 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
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Hoboken
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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. |
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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 – sequence: 3 givenname: Ruoxi surname: Pan fullname: Pan, Ruoxi organization: Warwick University – sequence: 4 givenname: Wensheng surname: Wang fullname: Wang, Wensheng organization: Chinese Academy of Agriculture Sciences – sequence: 5 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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CitedBy_id | crossref_primary_10_1007_s11370_024_00584_9 crossref_primary_10_1016_j_dib_2025_111495 crossref_primary_10_1080_00295639_2024_2364463 crossref_primary_10_3390_machines12110750 crossref_primary_10_1016_j_compag_2024_109661 crossref_primary_10_3390_drones8110622 crossref_primary_10_3390_drones8100586 crossref_primary_10_20965_jrm_2024_p1001 crossref_primary_10_1177_09544062241275359 crossref_primary_10_3389_fphy_2024_1485026 |
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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... |
SourceID | proquest crossref wiley |
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StartPage | 1617 |
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 |
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Volume | 41 |
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