A Taxonomy of Sensors, Calibration and Computational Methods, and Applications of Mobile Mapping Systems: A Comprehensive Review
Innovative geospatial solutions are necessary to tackle complex environmental challenges. Mobile mapping systems (MMSs) are such key innovations emerging in this effort. MMSs, with a wide range of applications, significantly impact our increasingly developed data collection technologies by enhancing...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-04-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/17/9/1502 |
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| author | Ehsan Khoramshahi Somayeh Nezami Petri Pellikka Eija Honkavaara Yuwei Chen Ayman Habib |
| author_facet | Ehsan Khoramshahi Somayeh Nezami Petri Pellikka Eija Honkavaara Yuwei Chen Ayman Habib |
| author_sort | Ehsan Khoramshahi |
| collection | DOAJ |
| description | Innovative geospatial solutions are necessary to tackle complex environmental challenges. Mobile mapping systems (MMSs) are such key innovations emerging in this effort. MMSs, with a wide range of applications, significantly impact our increasingly developed data collection technologies by enhancing our understanding of the environment, enabling us to create more detailed models of natural resources, and optimizing the way we live on Earth. In this paper, we present and analyze recent advancements in MMS technologies, focusing on computational and modeling aspects, as well as the latest state-of-the-art sensor, hardware, and software developments. Special attention is given to the trends observed over the past decade, supported by a review of foundational literature. Finally, we outline our vision for the future of MMS, offering insights into the potential for further research and the exciting possibilities that lie ahead in this rapidly evolving field of science and technology. |
| format | Article |
| id | doaj-art-2662f7a1139146fe8ca4df7eadeb250e |
| institution | OA Journals |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-2662f7a1139146fe8ca4df7eadeb250e2025-08-20T01:49:24ZengMDPI AGRemote Sensing2072-42922025-04-01179150210.3390/rs17091502A Taxonomy of Sensors, Calibration and Computational Methods, and Applications of Mobile Mapping Systems: A Comprehensive ReviewEhsan Khoramshahi0Somayeh Nezami1Petri Pellikka2Eija Honkavaara3Yuwei Chen4Ayman Habib5Remote-Sensing and Photogrammetry Department, Visionium Oy, 00940 Helsinki, FinlandRemote-Sensing and Photogrammetry Department, Visionium Oy, 00940 Helsinki, FinlandDepartment of Geosciences and Geography, University of Helsinki, 00014 Helsinki, FinlandRemote Sensing and Photogrammetry Department, Finnish Geospatial Research Institute (FGI), National Land-Survey of Finland (NLS), 02150 Espoo, FinlandAdvanced Laser Technology Laboratory of Anhui Province, Hefei 230000, ChinaLyles School of Civil and Construction Engineering, Purdue University, West Lafayette, IN 47907-2051, USAInnovative geospatial solutions are necessary to tackle complex environmental challenges. Mobile mapping systems (MMSs) are such key innovations emerging in this effort. MMSs, with a wide range of applications, significantly impact our increasingly developed data collection technologies by enhancing our understanding of the environment, enabling us to create more detailed models of natural resources, and optimizing the way we live on Earth. In this paper, we present and analyze recent advancements in MMS technologies, focusing on computational and modeling aspects, as well as the latest state-of-the-art sensor, hardware, and software developments. Special attention is given to the trends observed over the past decade, supported by a review of foundational literature. Finally, we outline our vision for the future of MMS, offering insights into the potential for further research and the exciting possibilities that lie ahead in this rapidly evolving field of science and technology.https://www.mdpi.com/2072-4292/17/9/1502mobile mapping systemsUAVmulti-camera systemsLiDARsensordeep learning |
| spellingShingle | Ehsan Khoramshahi Somayeh Nezami Petri Pellikka Eija Honkavaara Yuwei Chen Ayman Habib A Taxonomy of Sensors, Calibration and Computational Methods, and Applications of Mobile Mapping Systems: A Comprehensive Review Remote Sensing mobile mapping systems UAV multi-camera systems LiDAR sensor deep learning |
| title | A Taxonomy of Sensors, Calibration and Computational Methods, and Applications of Mobile Mapping Systems: A Comprehensive Review |
| title_full | A Taxonomy of Sensors, Calibration and Computational Methods, and Applications of Mobile Mapping Systems: A Comprehensive Review |
| title_fullStr | A Taxonomy of Sensors, Calibration and Computational Methods, and Applications of Mobile Mapping Systems: A Comprehensive Review |
| title_full_unstemmed | A Taxonomy of Sensors, Calibration and Computational Methods, and Applications of Mobile Mapping Systems: A Comprehensive Review |
| title_short | A Taxonomy of Sensors, Calibration and Computational Methods, and Applications of Mobile Mapping Systems: A Comprehensive Review |
| title_sort | taxonomy of sensors calibration and computational methods and applications of mobile mapping systems a comprehensive review |
| topic | mobile mapping systems UAV multi-camera systems LiDAR sensor deep learning |
| url | https://www.mdpi.com/2072-4292/17/9/1502 |
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