DOE: a dynamic object elimination scheme based on geometric and semantic constraints
In this paper, we propose a dynamic object elimination algorithm that combines semantic and geometric constraints to address the problem of visual SLAM being easily affected by dynamic feature points in dynamic environments. This issue leads to the degradation of localisation accuracy and robustness...
Saved in:
| Main Authors: | Yanli Liu, Siyi Chen, Heng Zhang, Neal N. Xiong, Wei Liang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2023-12-01
|
| Series: | Connection Science |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/09540091.2023.2293460 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Semantic SLAM using laser-vision data fusion: Enhancing autonomous navigation in unstructured environments
by: Ning Chen, et al.
Published: (2025-08-01) -
Utilising LiDAR‐equipped iPhone in forestry: Constructing 3D models and measuring tree sizes in a planting site
by: Nozomi Oikawa, et al.
Published: (2025-01-01) -
A Complete System for Automated Semantic–Geometric Mapping of Corrosion in Industrial Environments
by: Rui Pimentel de Figueiredo, et al.
Published: (2025-05-01) -
Semantic and Geometric Fusion for Object-Based 3D Change Detection in LiDAR Point Clouds
by: Abderrazzaq Kharroubi, et al.
Published: (2025-04-01) -
Quelques Opérations De Localisation
by: Jean-pierre Descles
Published: (1981-12-01)