Periodic Bundle Adjustment to Mitigate Drift Error in ORB-SLAM3 for Autonomous Vehicle
- DOI
- 10.2991/978-94-6463-620-8_21How to use a DOI?
- Keywords
- ORB-SLAM3; Autonomous Vehicle; Optimization
- Abstract
Visual SLAM systems commonly encounter challenges with drift errors arising from incremental position estimations between frames. As autonomous vehicles traverse longer distances, these systems are prone to an accumulation of drift errors. ORB-SLAM3 mitigates this issue through optimizations applied to motion-only bundle adjustment, local bundle adjustment, and full bundle adjustment. Once loop closure is detected, the full bundle adjustment optimizes all positional and landmark data; however, in situations where loop closure does not occur or occurs over extended distances, resulting in a significant accumulation of drift errors. An additional optimization trigger, independent of loop closure, must address this. This study proposes the periodic bundle adjustment method, which optimizes the system based on the number of keyframes. Implementing this method within ORB-SLAM3 reduces the RMSE APE value compared to ORB-SLAM3 without periodic bundle adjustment on the KITTI Odometry dataset.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Hilda Widyastuti AU - Bambang R. Trilaksono AU - Egi Muhammad Idris Hidayat AU - Widyawardana Adiprawita PY - 2024 DA - 2024/12/25 TI - Periodic Bundle Adjustment to Mitigate Drift Error in ORB-SLAM3 for Autonomous Vehicle BT - Proceedings of the 7th International Conference on Applied Engineering (ICAE 2024) PB - Atlantis Press SP - 272 EP - 286 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-620-8_21 DO - 10.2991/978-94-6463-620-8_21 ID - Widyastuti2024 ER -