Publication: Position detection using imu and monocular camera under orb-slam software
| datacite.subject.fos | oecd::Engineering and technology::Electrical engineering, Electronic engineering, Information engineering | |
| dc.contributor.author | Ezam, Mohd. Zakirin | |
| dc.date.accessioned | 2024-02-29T07:06:38Z | |
| dc.date.available | 2024-02-29T07:06:38Z | |
| dc.date.issued | 2022-07-01 | |
| dc.description.abstract | SLAM (Simultaneous Localization and mapping) is one of the most challenging problems for mobile platforms. Research into SLAM requires interpreting sensors data, such as accelerometer, gyroscope and camera. SLAM can be performed by utilizing the inertial sensor, visual sensor or a fusion of both. This paper focuses on the ORB-SLAM3 software which is used for interpreting and analyzing sensor data. It will mainly focus on understanding the workings of SLAM in general and its principles in ORB-SLAM3, and research into methods of loose-coupling and tight-coupling analysis of visual and inertial sensor data. Difference in SLAM accuracy of the two methods of analysis is presented in the paper. | |
| dc.identifier.uri | https://erepo.usm.my/handle/123456789/18518 | |
| dc.language.iso | en | |
| dc.title | Position detection using imu and monocular camera under orb-slam software | |
| dc.type | Resource Types::text::report | |
| dspace.entity.type | Publication | |
| oairecerif.author.affiliation | Universiti Sains Malaysia |