OG-SLAM: A real-time and high-accurate monocular visual SLAM framework
- 26 July 2022
- journal article
- Published by Peertechz Publications Private Limited in Trends in Computer Science and Information Technology
- Vol. 7 (2), 047-054
- https://doi.org/10.17352/tcsit.000050
Abstract
The challenge of improving the accuracy of monocular Simultaneous Localization and Mapping (SLAM) is considered, which widely appears in computer vision, autonomous robotics, and remote sensing. A new framework (ORB-GMS-SLAM (or OG-SLAM)) is proposed, which introduces the region-based motion smoothness into a typical Visual SLAM (V-SLAM) system. The region-based motion smoothness is implemented by integrating the Oriented Fast and Rotated Brief (ORB) features and the Grid-based Motion Statistics (GMS) algorithm into the feature matching process. The OG-SLAM significantly reduces the absolute trajectory error (ATE) on the key-frame trajectory estimation without compromising the real-time performance. This study compares the proposed OG-SLAM to an advanced V-SLAM system (ORB-SLAM2). The results indicate the highest accuracy improvement of almost 75% on a typical RGB-D SLAM benchmark. Compared with other ORB-SLAM2 settings (1800 key points), the OG-SLAM improves the accuracy by around 20% without losing performance in real-time. The OG-SLAM framework has a significant advantage over the ORB-SLAM2 system in that it is more robust for rotation, loop-free, and long ground-truth length scenarios. Furthermore, as far as the authors are aware, this framework is the first attempt to integrate the GMS algorithm into the V-SLAM.Keywords
This publication has 36 references indexed in Scilit:
- ORB-SLAM: A Versatile and Accurate Monocular SLAM SystemIEEE Transactions on Robotics, 2015
- A ToF-Camera as a 3D Vision Sensor for Autonomous Mobile RoboticsInternational Journal of Advanced Robotic Systems, 2015
- The Devon Island rover navigation datasetThe International Journal of Robotics Research, 2012
- A comparison of loop closing techniques in monocular SLAMRobotics and Autonomous Systems, 2009
- 6D SLAM—3D mapping outdoor environmentsJournal of Field Robotics, 2007
- Machine Learning for High-Speed Corner DetectionLecture Notes in Computer Science, 2006
- Multiple view geometry in computer visionOptics and Lasers in Engineering, 2002
- Bundle Adjustment — A Modern SynthesisLecture Notes in Computer Science, 2000
- CMOS image sensors: electronic camera-on-a-chipIEEE Transactions on Electron Devices, 1997
- A Combined Corner and Edge DetectorPublished by British Machine Vision Association and Society for Pattern Recognition ,1988