Semantic Segmentation-Based Enhancement of Visual SLAM Loop Closure Detection in Dynamic Indoor Environments
Current visual SLAM loop closure detection algorithms encounter significant challenges in dynamic environments, where moving objects such as pedestrians lead to inconsistencies in feature points, compromising map accuracy. This study proposes a novel visual SLAM loop closure detection algorithm leve
Authors
- Lu Wang (ORCID: https://orcid.org/0000-0002-4164-9119)
- Xiaoxia Lu
- Chao Hu
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.4108/eai.21-11-2024.2354632
- Primary Topic
- Robotics and Sensor-Based Localization
- Type
- article
- Field-Weighted Citation Impact
- 0.00