Cargando…
Accurate and Robust Monocular SLAM with Omnidirectional Cameras
Simultaneous localization and mapping (SLAM) are fundamental elements for many emerging technologies, such as autonomous driving and augmented reality. For this paper, to get more information, we developed an improved monocular visual SLAM system by using omnidirectional cameras. Our method extends...
Autores principales: | Liu, Shuoyuan, Guo, Peng, Feng, Lihui, Yang, Aiying |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832278/ https://www.ncbi.nlm.nih.gov/pubmed/31623266 http://dx.doi.org/10.3390/s19204494 |
Ejemplares similares
-
HFNet-SLAM: An Accurate and Real-Time Monocular SLAM System with Deep Features
por: Liu, Liming, et al.
Publicado: (2023) -
A Robust Parallel Initialization Method for Monocular Visual-Inertial SLAM
por: Zhong, Min, et al.
Publicado: (2022) -
Accurate Initial State Estimation in a Monocular Visual–Inertial SLAM System
por: Mu, Xufu, et al.
Publicado: (2018) -
Marine Application Evaluation of Monocular SLAM for Underwater Robots
por: Zhang, Yang, et al.
Publicado: (2022) -
A Robust Approach for a Filter-Based Monocular Simultaneous Localization and Mapping (SLAM) System
por: Munguía, Rodrigo, et al.
Publicado: (2013)