Cargando…
VILO SLAM: Tightly Coupled Binocular Vision–Inertia SLAM Combined with LiDAR
For the existing visual–inertial SLAM algorithm, when the robot is moving at a constant speed or purely rotating and encounters scenes with insufficient visual features, problems of low accuracy and poor robustness arise. Aiming to solve the problems of low accuracy and robustness of the visual iner...
Autores principales: | Peng, Gang, Zhou, Yicheng, Hu, Lu, Xiao, Li, Sun, Zhigang, Wu, Zhangang, Zhu, Xukang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10223234/ https://www.ncbi.nlm.nih.gov/pubmed/37430501 http://dx.doi.org/10.3390/s23104588 |
Ejemplares similares
-
A Tightly Coupled LiDAR-Inertial SLAM for Perceptually Degraded Scenes
por: Yang, Lin, et al.
Publicado: (2022) -
LiDAR Point Cloud Generation for SLAM Algorithm Evaluation
por: Sobczak, Łukasz, et al.
Publicado: (2021) -
A LiDAR SLAM-Assisted Fusion Positioning Method for USVs
por: Shen, Wei, et al.
Publicado: (2023) -
An Integrated INS/LiDAR SLAM Navigation System for GNSS-Challenging Environments
por: Abdelaziz, Nader, et al.
Publicado: (2022) -
Enhancing Solid State LiDAR Mapping with a 2D Spinning LiDAR in Urban Scenario SLAM on Ground Vehicles
por: Wei, Weichen, et al.
Publicado: (2021)