Neural Radiance Field Dynamic Scene SLAM Based on Ray Segmentation and Bundle Adjustment
The current neural implicit SLAM methods have demonstrated excellent performance in reconstructing ideal static 3D scenes. However, it remains a significant challenge for these methods to handle real scenes with drastic changes in lighting conditions and dynamic environments. This paper proposes a n...
Saved in:
| Main Authors: | Yuquan Zhang, Guosheng Feng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/25/6/1679 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
UDGS-SLAM: UniDepth Assisted Gaussian Splatting for Monocular SLAM
by: Mostafa Mansour, et al.
Published: (2025-07-01) -
Sem-SLAM: Semantic-Integrated SLAM Approach for 3D Reconstruction
by: Shuqi Liu, et al.
Published: (2025-07-01) -
Порівняння програмних реалізацій алгоритму Bundle Adjustment для задачі SLAM
by: Богдан Миколайович Біганський, et al.
Published: (2025-03-01) -
DIO-SLAM: A Dynamic RGB-D SLAM Method Combining Instance Segmentation and Optical Flow
by: Lang He, et al.
Published: (2024-09-01) -
Effect of rendering space on the performance of the ray marching method
by: Ю. Данилюк, et al.
Published: (2024-10-01)