Cargando…
Direct Depth SLAM: Sparse Geometric Feature Enhanced Direct Depth SLAM System for Low-Texture Environments
This paper presents a real-time, robust and low-drift depth-only SLAM (simultaneous localization and mapping) method for depth cameras by utilizing both dense range flow and sparse geometry features from sequential depth images. The proposed method is mainly composed of three optimization layers, na...
Autores principales: | Zhao, Shibo, Fang, Zheng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210715/ https://www.ncbi.nlm.nih.gov/pubmed/30301199 http://dx.doi.org/10.3390/s18103339 |
Ejemplares similares
-
DiT-SLAM: Real-Time Dense Visual-Inertial SLAM with Implicit Depth Representation and Tightly-Coupled Graph Optimization
por: Zhao, Mingle, et al.
Publicado: (2022) -
OTE-SLAM: An Object Tracking Enhanced Visual SLAM System for Dynamic Environments
por: Chang, Yimeng, et al.
Publicado: (2023) -
Non-Linearity Analysis of Depth and Angular Indexes for Optimal Stereo SLAM
por: Bergasa, Luis M., et al.
Publicado: (2010) -
DOE-SLAM: Dynamic Object Enhanced Visual SLAM
por: Hu, Xiao, et al.
Publicado: (2021) -
HFNet-SLAM: An Accurate and Real-Time Monocular SLAM System with Deep Features
por: Liu, Liming, et al.
Publicado: (2023)