Zobrazeno 1 - 10
of 10
pro vyhledávání: '"José Martinez-Carranza"'
Autor:
Juan Manuel Fortuna-Cervantes, Marco Tulio Ramírez-Torres, Marcela Mejía-Carlos, José Salomé Murguía, José Martinez-Carranza, Carlos Soubervielle-Montalvo, César Arturo Guerra-García
Publikováno v:
Applied Sciences, Vol 12, Iss 7, p 3592 (2022)
Convolutional Neural Networks (CNNs) have recently been proposed as a solution in texture and material classification in computer vision. However, inside CNNs, the internal layers of pooling often cause a loss of information and, therefore, is detrim
Externí odkaz:
https://doaj.org/article/4f610187488444ca9f7114f5a144fc2a
Autor:
Jose Martinez-Carranza, Everardo Inzunza-Gonzalez, Enrique Efren Garcia-Guerrero, Esteban Tlelo-Cuautle
This book highlights applications that include machine learning methods to enhance new developments in complex and unmanned systems. The contents are organized from the applications requiring few methods to the ones combining different methods and di
Publikováno v:
IEEE Access, Vol 12, Pp 114552-114572 (2024)
Reinforcement Learning (RL) provides a framework in which agents can be trained, via trial and error, to solve complex decision-making problems. Learning with little supervision causes RL methods to require large amounts of data, rendering them too e
Externí odkaz:
https://doaj.org/article/9dd7e863921647afbb7de0a3f4588be2
Publikováno v:
Journal of Universal Computer Science, Vol 29, Iss 10, Pp 1198-1216 (2023)
Pendulum-Driven Spherical Robots are a type of spherical robot whose motion is achieved by controlling two motors for longitudinal and lateral motion. This configuration makes the robot a non-holonomic system, which impedes it from navigating directl
Externí odkaz:
https://doaj.org/article/fc512352e0e249459955ea484f8d5677
Autor:
Jose Martinez-Carranza, Delia Irazú Hernández-Farías, Victoria Eugenia Vazquez-Meza, Leticia Oyuki Rojas-Perez, Aldrich Alfredo Cabrera-Ponce
Publikováno v:
Sensors, Vol 23, Iss 21, p 8757 (2023)
In this study, we investigate the application of generative models to assist artificial agents, such as delivery drones or service robots, in visualising unfamiliar destinations solely based on textual descriptions. We explore the use of generative m
Externí odkaz:
https://doaj.org/article/ef4dafc596104df1922f56af79f0f670
Publikováno v:
Sensors, Vol 21, Iss 22, p 7436 (2021)
Recent advances have shown for the first time that it is possible to beat a human with an autonomous drone in a drone race. However, this solution relies heavily on external sensors, specifically on the use of a motion capture system. Thus, a truly a
Externí odkaz:
https://doaj.org/article/20855eb2d2ba45ab94c1aff0775ac45f
Autor:
Jose Martinez-Carranza, Caleb Rascon
Publikováno v:
Sensors, Vol 20, Iss 24, p 7276 (2020)
Although a significant amount of work has been carried out for visual perception in the context of unmanned aerial vehicles (UAVs), not so much has been done regarding auditory perception. The latter can complement the observation of the environment
Externí odkaz:
https://doaj.org/article/24d381ae34504054a0a4b494a0ef2e16
Publikováno v:
Sensors, Vol 20, Iss 16, p 4524 (2020)
Autonomous Drone Racing (ADR) was first proposed in IROS 2016. It called for the development of an autonomous drone capable of beating a human in a drone race. After almost five years, several teams have proposed different solutions with a common pip
Externí odkaz:
https://doaj.org/article/3967969a85994c56aa210c89be51df7c
On the Use of the AIRA-UAS Corpus to Evaluate Audio Processing Algorithms in Unmanned Aerial Systems
Publikováno v:
Sensors, Vol 19, Iss 18, p 3902 (2019)
Audio analysis over an Unmanned Aerial Systems (UAS) is of interest it is an essential step for on-board sound source localization and separation. This could be useful for search & rescue operations, as well as for detection of unauthorized drone ope
Externí odkaz:
https://doaj.org/article/f57b239fe98345f6a6acd09667820d0d
Publikováno v:
Sensors, Vol 19, Iss 3, p 563 (2019)
High-Level Structure (HLS) extraction in a set of images consists of recognizing 3D elements with useful information to the user or application. There are several approaches to HLS extraction. However, most of these approaches are based on processing
Externí odkaz:
https://doaj.org/article/a48387d64779452abb7ca330829848b8