GPS-SLAM: An Augmentation of the ORB-SLAM Algorithm
This work presents Global Positioning System-Simultaneous Localization and Mapping (GPS-SLAM), an augmented version of Oriented FAST (Features from accelerated segment test) and Rotated BRIEF (Binary Robust Independent Elementary Features) feature detector (ORB)-SLAM using GPS and inertial data to m...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-11-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/19/22/4973 |
| _version_ | 1818007542306963456 |
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| author | Dániel Kiss-Illés Cristina Barrado Esther Salamí |
| author_facet | Dániel Kiss-Illés Cristina Barrado Esther Salamí |
| author_sort | Dániel Kiss-Illés |
| collection | DOAJ |
| description | This work presents Global Positioning System-Simultaneous Localization and Mapping (GPS-SLAM), an augmented version of Oriented FAST (Features from accelerated segment test) and Rotated BRIEF (Binary Robust Independent Elementary Features) feature detector (ORB)-SLAM using GPS and inertial data to make the algorithm capable of dealing with low frame rate datasets. In general, SLAM systems are successful in case of datasets with a high frame rate. This work was motivated by a scarce dataset where ORB-SLAM often loses track because of the lack of continuity. The main work includes the determination of the next frame’s pose based on the GPS and inertial data. The results show that this additional information makes the algorithm more robust. As many large, outdoor unmanned aerial vehicle (UAV) flights save the GPS and inertial measurement unit (IMU) data of the capturing of images, this program gives an option to use the SLAM algorithm successfully even if the dataset has a low frame rate. |
| first_indexed | 2024-04-14T05:17:00Z |
| format | Article |
| id | doaj.art-e33a80d5573748c7a33e23be05315690 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-14T05:17:00Z |
| publishDate | 2019-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-e33a80d5573748c7a33e23be053156902022-12-22T02:10:20ZengMDPI AGSensors1424-82202019-11-011922497310.3390/s19224973s19224973GPS-SLAM: An Augmentation of the ORB-SLAM AlgorithmDániel Kiss-Illés0Cristina Barrado1Esther Salamí2Karlsruhe Institute of Technology (KIT—Karlsruher Institut für Technologie), 76131 Karlsruhe, GermanyPolytechnic University of Catalonia (UPC—Universitat Politécnica de Catalunya), 08034 Barcelona, SpainPolytechnic University of Catalonia (UPC—Universitat Politécnica de Catalunya), 08034 Barcelona, SpainThis work presents Global Positioning System-Simultaneous Localization and Mapping (GPS-SLAM), an augmented version of Oriented FAST (Features from accelerated segment test) and Rotated BRIEF (Binary Robust Independent Elementary Features) feature detector (ORB)-SLAM using GPS and inertial data to make the algorithm capable of dealing with low frame rate datasets. In general, SLAM systems are successful in case of datasets with a high frame rate. This work was motivated by a scarce dataset where ORB-SLAM often loses track because of the lack of continuity. The main work includes the determination of the next frame’s pose based on the GPS and inertial data. The results show that this additional information makes the algorithm more robust. As many large, outdoor unmanned aerial vehicle (UAV) flights save the GPS and inertial measurement unit (IMU) data of the capturing of images, this program gives an option to use the SLAM algorithm successfully even if the dataset has a low frame rate.https://www.mdpi.com/1424-8220/19/22/4973slamgps datainertialuavscarce dataset |
| spellingShingle | Dániel Kiss-Illés Cristina Barrado Esther Salamí GPS-SLAM: An Augmentation of the ORB-SLAM Algorithm Sensors slam gps data inertial uav scarce dataset |
| title | GPS-SLAM: An Augmentation of the ORB-SLAM Algorithm |
| title_full | GPS-SLAM: An Augmentation of the ORB-SLAM Algorithm |
| title_fullStr | GPS-SLAM: An Augmentation of the ORB-SLAM Algorithm |
| title_full_unstemmed | GPS-SLAM: An Augmentation of the ORB-SLAM Algorithm |
| title_short | GPS-SLAM: An Augmentation of the ORB-SLAM Algorithm |
| title_sort | gps slam an augmentation of the orb slam algorithm |
| topic | slam gps data inertial uav scarce dataset |
| url | https://www.mdpi.com/1424-8220/19/22/4973 |
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