Cargando…
A Single LiDAR-Based Feature Fusion Indoor Localization Algorithm
In past years, there has been significant progress in the field of indoor robot localization. To precisely recover the position, the robots usually relies on multiple on-board sensors. Nevertheless, this affects the overall system cost and increases computation. In this research work, we considered...
Autores principales: | Wang, Yun-Ting, Peng, Chao-Chung, Ravankar, Ankit A., Ravankar, Abhijeet |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5949039/ https://www.ncbi.nlm.nih.gov/pubmed/29690624 http://dx.doi.org/10.3390/s18041294 |
Ejemplares similares
-
A Novel Approach for Lidar-Based Robot Localization in a Scale-Drifted Map Constructed Using Monocular SLAM
por: Wang, Su, et al.
Publicado: (2019) -
Hitchhiking Robots: A Collaborative Approach for Efficient Multi-Robot Navigation in Indoor Environments
por: Ravankar, Abhijeet, et al.
Publicado: (2017) -
Path Smoothing Techniques in Robot Navigation: State-of-the-Art, Current and Future Challenges
por: Ravankar, Abhijeet, et al.
Publicado: (2018) -
Symbiotic Navigation in Multi-Robot Systems with Remote Obstacle Knowledge Sharing
por: Ravankar, Abhijeet, et al.
Publicado: (2017) -
ITC: Infused Tangential Curves for Smooth 2D and 3D Navigation of Mobile Robots †
por: Ravankar, Abhijeet, et al.
Publicado: (2019)