Adaptive Multi-Sensor Fusion for SLAM: A Scan Context-Driven Approach
This paper proposes a novel multi-sensor fusion SLAM algorithm, named SC-LVI-SAM, based on scanning context, to address the issues of decreased positioning accuracy caused by missing feature points and prolonged motion in complex large-scale scenes in multi-sensor fusion SLAM algorithms. Firstly, th...
Saved in:
Main Authors: | Yijing Zhang, Jia Liu, Runxi Cao, Yunxi Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10816402/ |
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) -
UPL-SLAM: Unconstrained RGB-D SLAM With Accurate Point-Line Features for Visual Perception
by: Xianshuai Sun, et al.
Published: (2025-01-01) -
Parallelized SLAM: Enhancing Mapping and Localization Through Concurrent Processing
by: Francisco J. Romero-Ramirez, et al.
Published: (2025-01-01)