A 2D laser rangefinder scans dataset of standard EUR pallets
In the past few years, the technology of automated guided vehicles (AGVs) has notably advanced. In particular, in the context of factory and warehouse automation, different approaches have been presented for detecting and localizing pallets inside warehouses and shop-floor environments. In a related...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2019-06-01
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| Series: | Data in Brief |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S235234091930188X |
| _version_ | 1828962593405927424 |
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| author | Ihab S. Mohamed Alessio Capitanelli Fulvio Mastrogiovanni Stefano Rovetta Renato Zaccaria |
| author_facet | Ihab S. Mohamed Alessio Capitanelli Fulvio Mastrogiovanni Stefano Rovetta Renato Zaccaria |
| author_sort | Ihab S. Mohamed |
| collection | DOAJ |
| description | In the past few years, the technology of automated guided vehicles (AGVs) has notably advanced. In particular, in the context of factory and warehouse automation, different approaches have been presented for detecting and localizing pallets inside warehouses and shop-floor environments. In a related research paper Mohamed et al., 2018, we show that an AGVs can detect, localize, and track pallets using machine learning techniques based only on the data of an on-board 2D laser rangefinder. Such sensor is very common in industrial scenarios due to its simplicity and robustness, but it can only provide a limited amount of data. Therefore, it has been neglected in the past in favor of more complex solutions. In this paper, we release to the community the data we collected in Ref. Mohamed et al., 2018 for further research activities in the field of pallet localization and tracking. The dataset comprises a collection of 565 2D scans from real-world environments, which are divided into 340 samples where pallets are present, and 225 samples where they are not. The data have been manually labelled and are provided in different formats. Keywords: 2D laser rangefinder, Object detection, Robotics, Automated guided vehicle |
| first_indexed | 2024-12-14T10:08:39Z |
| format | Article |
| id | doaj.art-72f07c047be749c5bf51b5f989869647 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-12-14T10:08:39Z |
| publishDate | 2019-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-72f07c047be749c5bf51b5f9898696472022-12-21T23:07:04ZengElsevierData in Brief2352-34092019-06-0124A 2D laser rangefinder scans dataset of standard EUR palletsIhab S. Mohamed0Alessio Capitanelli1Fulvio Mastrogiovanni2Stefano Rovetta3Renato Zaccaria4INRIA Sophia Antipolis - Méditerranée, Université Côte d’Azur, France; Corresponding author.Teseo S.r.l., Genova, ItalyDepartment of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS), University of Genoa, ItalyDepartment of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS), University of Genoa, ItalyDepartment of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS), University of Genoa, ItalyIn the past few years, the technology of automated guided vehicles (AGVs) has notably advanced. In particular, in the context of factory and warehouse automation, different approaches have been presented for detecting and localizing pallets inside warehouses and shop-floor environments. In a related research paper Mohamed et al., 2018, we show that an AGVs can detect, localize, and track pallets using machine learning techniques based only on the data of an on-board 2D laser rangefinder. Such sensor is very common in industrial scenarios due to its simplicity and robustness, but it can only provide a limited amount of data. Therefore, it has been neglected in the past in favor of more complex solutions. In this paper, we release to the community the data we collected in Ref. Mohamed et al., 2018 for further research activities in the field of pallet localization and tracking. The dataset comprises a collection of 565 2D scans from real-world environments, which are divided into 340 samples where pallets are present, and 225 samples where they are not. The data have been manually labelled and are provided in different formats. Keywords: 2D laser rangefinder, Object detection, Robotics, Automated guided vehiclehttp://www.sciencedirect.com/science/article/pii/S235234091930188X |
| spellingShingle | Ihab S. Mohamed Alessio Capitanelli Fulvio Mastrogiovanni Stefano Rovetta Renato Zaccaria A 2D laser rangefinder scans dataset of standard EUR pallets Data in Brief |
| title | A 2D laser rangefinder scans dataset of standard EUR pallets |
| title_full | A 2D laser rangefinder scans dataset of standard EUR pallets |
| title_fullStr | A 2D laser rangefinder scans dataset of standard EUR pallets |
| title_full_unstemmed | A 2D laser rangefinder scans dataset of standard EUR pallets |
| title_short | A 2D laser rangefinder scans dataset of standard EUR pallets |
| title_sort | 2d laser rangefinder scans dataset of standard eur pallets |
| url | http://www.sciencedirect.com/science/article/pii/S235234091930188X |
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