Cargando…
SLAMICP Library: Accelerating Obstacle Detection in Mobile Robot Navigation via Outlier Monitoring following ICP Localization
The Iterative Closest Point (ICP) is a matching technique used to determine the transformation matrix that best minimizes the distance between two point clouds. Although mostly used for 2D and 3D surface reconstruction, this technique is also widely used for mobile robot self-localization by means o...
Autores principales: | Clotet, Eduard, Palacín, Jordi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422247/ https://www.ncbi.nlm.nih.gov/pubmed/37571623 http://dx.doi.org/10.3390/s23156841 |
Ejemplares similares
-
Path Planning of a Mobile Delivery Robot Operating in a Multi-Story Building Based on a Predefined Navigation Tree
por: Palacín, Jordi, et al.
Publicado: (2023) -
Benefits and obstacles of telemetric ICP monitoring
por: Oertel, Joachim M. K., et al.
Publicado: (2021) -
Mobile Robot Self-Localization with 2D Push-Broom LIDAR in a 2D Map
por: Palacín, Jordi, et al.
Publicado: (2020) -
Optimal predictive neuro-navigator design for mobile robot navigation with moving obstacles
por: Mohaghegh, Mahsa, et al.
Publicado: (2023) -
Obstacle Detection in Infrared Navigation for Blind People and Mobile Robots
por: Papagianopoulos, Ioannis, et al.
Publicado: (2023)