90 citations · 117 across the 7 of their papers we have counts for
8 papers
A Comparison of Tiny-nerf versus Spatial Representations for 3d Reconstruction
Saulo Abraham Gante, Juan Irving Vasquez, Marco Antonio Valencia +1
Neural rendering has emerged as a powerful paradigm for synthesizing images, offering many benefits over classical rendering by using neural networks to reconstruct surfaces, repre…
Spiral Trajectories for Building Inspection with Quadrotors
Juan Irving Vasquez, David E. Troncoso Romero, Mayra Antonio-Cruz +1
Inspection of large building is an important task since it can prevent material and human losses. A cheap and fast way to do the inspections is by sensors mounted on quadrotor vehi…
2D Grid Map Generation for Deep-Learning-based Navigation Approaches
Gabriel O. Flores-Aquino, Jheison Duvier Díaz Ortega, Ricardo Yahir Almazan Arvizu +3
In the last decade, autonomous navigation for roboticshas been leveraged by deep learning and other approachesbased on machine learning. These approaches have demon-strated signifi…
Coast Sargassum Level Estimation from Smartphone Pictures
Uriarte-Arcia Abril Valeria, Vasquez-Gomez Juan Irving, Taud Hind +2
Since 2011, significant and atypical arrival of two species of surface dwelling algae, Sargassum natans and Sargassum Fluitans, have been detected in the Mexican Caribbean. This ma…
Coverage Path Planning for Spraying Drones
E. Viridiana Vazquez-Carmona, Juan Irving Vasquez, Juan Carlos Herrera Lozada +1
The pandemic by COVID-19 is causing a devastating effect on the health of global population. There are several efforts to prevent the spread of the virus. Among those efforts, clea…
Custom Distribution for Sampling-Based Motion Planning
Gabriel O. Flores-Aquino, J. Irving Vasquez-Gomez, O. Octavio Gutierrez-Frias
Sampling-based motion planning algorithms are widely used in robotics because they are very effective in high-dimensional spaces. However, the success rate and quality of the solut…
Next-best-view Regression using a 3D Convolutional Neural Network
J. Irving Vasquez-Gomez, David Troncoso, Israel Becerra +2
Automated three-dimensional (3D) object reconstruction is the task of building a geometric representation of a physical object by means of sensing its surface. Even though new sing…
Supervised Learning of the Next-Best-View for 3D Object Reconstruction
Miguel Mendoza, J. Irving Vasquez-Gomez, Hind Taud +2
Motivated by the advances in 3D sensing technology and the spreading of low-cost robotic platforms, 3D object reconstruction has become a common task in many areas. Nevertheless, t…