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This publication is part of the R&D project "Cognitive Personal Assistance for Social Environments (ACOGES)", reference PID2020-113096RB-I00, funded by MCIN/AEI/10.13039/501100011033. We would also like to thank M. Beteta and F. Rodriguez for previous contributions to this work.
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Puente Yusty, Paloma De LaAutor o CoautorLaserna Moratalla, JavierAutor o CoautorAMCL hybrid localization through the incorporation of visual rectangular landmarks
Publicado en:2024 28th International Conference On Methods And Models In Automation And Robotics, Mmar 2024. 556-561 - 2024-01-01 (), DOI: 10.1109/MMAR62187.2024.10680758
Autores: Vega-Martínez, G; Moratalla, JL; de la Puente, P
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Resumen
The increasing integration of robots into daily life requires enhanced autonomy capabilities and better levels of robustness. To address robot localization, this work proposes Hybrid AMCL, an extension of the original Adaptive Monte Carlo Localization (AMCL) algorithm, incorporating visual cues in the form of natural rectangles, usually present indoors, to overcome difficulties posed by scenarios lacking geometric features such as corridors. To this end, this work also introduces Rectangle Intersection-based Detector using Graphs and Elongation (RIDGE), a novel algorithm based on the idea of finding quadrilaterals in images, corresponding to real-world rectangles. The effectiveness of Hybrid AMCL is validated both in simulation using Isaac Sim and in a real-world environment. Our results show its potential for more accurate localization in challenging situations.
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Análisis de liderazgo de los autores institucionales
Existe un liderazgo significativo ya que algunos de los autores pertenecientes a la institución aparecen como primer o último firmante, se puede apreciar en el detalle: Primer Autor (Vega-Martinez, German) y Último Autor (Vega-Martinez, German).
el autor responsable de establecer las labores de correspondencia ha sido Vega-Martinez, German.