UPL-SLAM: Unconstrained RGB-D SLAM With Accurate Point-Line Features for Visual Perception
In mainstream simultaneous localization and mapping (SLAM) algorithms, feature points are commonly utilized to represent image features. However, the quantity and quality of these feature points are contingent upon the environmental texture, lighting conditions, and motion speed. Although existing a...
Saved in:
Main Authors: | Xianshuai Sun, Yuming Zhao, Yabiao Wang, Zhigang Li, Zhen He, Xiaohui Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10818667/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Slam Resistência: poesia, cidadania e insurgência
by: Daniela Silva de Freitas
Published: (2020-01-01) -
Migrações e periferias: o levante do slam
by: Fernanda Vilar
Published: (2019-01-01) -
Semantic-Assisted LIDAR Tightly Coupled SLAM for Dynamic Environments
by: Peng Liu, et al.
Published: (2024-01-01) -
Parallelized SLAM: Enhancing Mapping and Localization Through Concurrent Processing
by: Francisco J. Romero-Ramirez, et al.
Published: (2025-01-01) -
The EDI Multi-Modal Simultaneous Localization and Mapping Dataset (EDI-SLAM)
by: Peteris Racinskis, et al.
Published: (2025-01-01)