Cargando…
Robust Visual Odometry Leveraging Mixture of Manhattan Frames in Indoor Environments
We propose a robust RGB-Depth (RGB-D) Visual Odometry (VO) system to improve the localization performance of indoor scenes by using geometric features, including point and line features. Previous VO/Simultaneous Localization and Mapping (SLAM) algorithms estimate the low-drift camera poses with the...
Autores principales: | Yuan, Huayu, Wu, Chengfeng, Deng, Zhongliang, Yin, Jiahui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9698556/ https://www.ncbi.nlm.nih.gov/pubmed/36433239 http://dx.doi.org/10.3390/s22228644 |
Ejemplares similares
-
Leveraging Deep Learning for Visual Odometry Using Optical Flow
por: Pandey, Tejas, et al.
Publicado: (2021) -
An Enhanced Hybrid Visual–Inertial Odometry System for Indoor Mobile Robot
por: Liu, Yanjie, et al.
Publicado: (2022) -
Visual-Inertial Odometry with Robust Initialization and Online Scale Estimation
por: Hong, Euntae, et al.
Publicado: (2018) -
Robust Stereo Visual-Inertial Odometry Using Nonlinear Optimization
por: Ma, Shujun, et al.
Publicado: (2019) -
Visual odometry of Rhinecanthus aculeatus depends on the visual density of the environment
por: Karlsson, Cecilia, et al.
Publicado: (2022)