Luis Payá
Cited by
Cited by
A state-of-the-art review on mobile robotics tasks using artificial intelligence and visual data
S Cebollada, L Payá, M Flores, A Peidró, O Reinoso
Expert Systems with Applications 167, 114195, 2021
A state-of-the-art review on mapping and localization of mobile robots using omnidirectional vision sensors
L Paya, A Gil, O Reinoso
Journal of Sensors 2017, 2017
An improved Monte Carlo method based on Gaussian growth to calculate the workspace of robots
A Peidró, Ó Reinoso, A Gil, JM Marín, L Payá
Engineering Applications of Artificial Intelligence 64, 197-207, 2017
Development and deployment of a new robotics toolbox for education
A Gil, O Reinoso, JM Marin, L Paya, J Ruiz
Computer Applications in Engineering Education 23 (3), 443-454, 2015
Map building and monte carlo localization using global appearance of omnidirectional images
L Payá, L Fernández, A Gil, O Reinoso
Sensors 10 (12), 11468-11497, 2010
Performance of global-appearance descriptors in map building and localization using omnidirectional vision
L Payá, F Amorós, L Fernández, O Reinoso
Sensors 14 (2), 3033-3064, 2014
A hybrid solution to the multi-robot integrated exploration problem
M Juliá, Ó Reinoso, A Gil, M Ballesta, L Payá
Engineering Applications of Artificial Intelligence 23 (4), 473-486, 2010
Visual odometry through appearance-and feature-based method with omnidirectional images
D Valiente García, L Fernández Rojo, A Gil Aparicio, L Payá Castelló, ...
Journal of Robotics 2012, 2012
Appearance-based dense maps creation-comparison of compression techniques with panoramic images
L Payá, L Fernández, Ó Reinoso, A Gil, D Úbeda
International Conference on Informatics in Control, Automation and Robotics …, 2009
Position estimation and local mapping using omnidirectional images and global appearance descriptors
Y Berenguer, L Payá, M Ballesta, O Reinoso
Sensors 15 (10), 26368-26395, 2015
Modeling environments hierarchically with omnidirectional imaging and global-appearance descriptors
L Paya, A Peidro, F Amorós, D Valiente, O Reinoso
Remote sensing 10 (4), 522, 2018
Robust visual localization with dynamic uncertainty management in omnidirectional SLAM
D Valiente, A Gil, L Payá, JM Sebastián, Ó Reinoso
Applied Sciences 7 (12), 1294, 2017
Estimation of visual maps with a robot network equipped with vision sensors
A Gil, O Reinoso, M Ballesta, M Juliá, L Payá
Sensors 10 (5), 5209-5232, 2010
Using omnidirectional vision to create a model of the environment: A comparative evaluation of global-appearance descriptors
L Payá, O Reinoso, Y Berenguer, D Úbeda
Journal of Sensors 2016, 2016
Visual information fusion through bayesian inference for adaptive probability-oriented feature matching
D Valiente, L Payá, LM Jiménez, JM Sebastian, O Reinoso
Sensors 18 (7), 2041, 2018
Monte Carlo localization using SIFT features
A Gil, O Reinoso, A Vicente, C Fernández, L Payá
Pattern Recognition and Image Analysis: Second Iberian Conference, IbPRIA …, 2005
Evaluation of clustering methods in compression of topological models and visual place recognition using global appearance descriptors
S Cebollada, L Payá, W Mayol, O Reinoso
Applied Sciences 9 (3), 377, 2019
Hierarchical localization in topological models under varying illumination using holistic visual descriptors
S Cebollada, L Paya, V Roman, O Reinoso
IEEE Access 7, 49580-49595, 2019
A method based on the vanishing of self-motion manifolds to determine the collision-free workspace of redundant robots
A Peidro, O Reinoso, A Gil, JM Marín, L Paya
Mechanism and Machine Theory 128, 84-109, 2018
A virtual laboratory to simulate the control of parallel robots
A Peidró, O Reinoso, A Gil, JM Marín, L Payá
IFAC-PapersOnLine 48 (29), 19-24, 2015
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