Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Javier Fernández-Andrés"'
Autor:
Sergio Bemposta Rosende, David San José Gavilán, Javier Fernández-Andrés, Javier Sánchez-Soriano
Publikováno v:
Data, Vol 9, Iss 1, p 4 (2023)
A dataset of aerial urban traffic images and their semantic segmentation is presented to be used to train computer vision algorithms, among which those based on convolutional neural networks stand out. This article explains the process of creating th
Externí odkaz:
https://doaj.org/article/c82b57bf23b24ed1b3c4cfe297fc7504
Publikováno v:
Drones, Vol 7, Iss 11, p 682 (2023)
Advancements in autonomous driving have seen unprecedented improvement in recent years. This work addresses the challenge of enhancing the navigation of autonomous vehicles in complex urban environments such as intersections and roundabouts through t
Externí odkaz:
https://doaj.org/article/d4b35b9ca95842b58a287f3b33338eb4
Publikováno v:
Data, Vol 7, Iss 4, p 41 (2022)
This publication presents a dataset consisting of Spanish road images taken from inside a vehicle, as well as annotations in XML files in PASCAL VOC format that indicate the location of Variable Message Signals within them. Additionally, a CSV file i
Externí odkaz:
https://doaj.org/article/517d456c8beb4528a65dcef05764c00b
Publikováno v:
Data, Vol 7, Iss 5, p 53 (2022)
A dataset of Spanish road traffic images taken from unmanned aerial vehicles (UAV) is presented with the purpose of being used to train artificial vision algorithms, among which those based on convolutional neural networks stand out. This article exp
Externí odkaz:
https://doaj.org/article/251090d2c02442ffabea731b2e64cacc
Publikováno v:
Data, Vol 7, Iss 4, p 47 (2022)
This publication presents a dataset of Spanish roundabouts aerial images taken from a UAV, along with annotations in PASCAL VOC XML files that indicate the position of vehicles within them. Additionally, a CSV file is attached containing information
Externí odkaz:
https://doaj.org/article/34f3be9ee8de49ec9e20e7f48c1ac142
Learning from human driver’s strategies for undertaking complex traffic scenarios has the potential to improve decision-making methods for designing ADAS systems, as well as for design selfdriving rules for automated vehicles. This paper proposes a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::763c54881456aaa1b0c0758b4d99d65f
https://hdl.handle.net/11268/12050
https://hdl.handle.net/11268/12050
Autor:
Nourdine Aliane, Javier Fernández Andrés, Laura García Cuenca, Carlos Guindel, José María Armingol
Publikováno v:
Sensors, Vol 20, Iss 7151, p 7151 (2020)
ABACUS. Repositorio de Producción Científica
Universidad Europea (UEM)
Sensors
Volume 20
Issue 24
Sensors (Basel, Switzerland)
ABACUS. Repositorio de Producción Científica
Universidad Europea (UEM)
Sensors
Volume 20
Issue 24
Sensors (Basel, Switzerland)
A proper driver characterization in complex environments using computational techniques depends on the richness and variety of data obtained from naturalistic driving. The present article proposes the construction of a dataset from naturalistic drivi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d52bfbc738bc30f114ec686b70e37e7c
https://www.mdpi.com/1424-8220/20/24/7151
https://www.mdpi.com/1424-8220/20/24/7151
Autor:
Laura García Cuenca, Enrique Puertas, Javier Sanchez-Soriano, Javier Fernández Andrés, Nourdine Aliane
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 19, Iss 10, p 2386 (2019)
Sensors
Volume 19
Issue 10
ABACUS. Repositorio de Producción Científica
Universidad Europea (UEM)
Sensors, Vol 19, Iss 10, p 2386 (2019)
Sensors
Volume 19
Issue 10
ABACUS. Repositorio de Producción Científica
Universidad Europea (UEM)
This article presents a machine learning-based technique to build a predictive model and generate rules of action to allow autonomous vehicles to perform roundabout maneuvers. The approach consists of building a predictive model of vehicle speeds and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e319a39ba8e66d72568b2b783223423
https://pubmed.ncbi.nlm.nih.gov/31137714
https://pubmed.ncbi.nlm.nih.gov/31137714
Traffic accidents constitutes the first cause of death and injury in many developed countries. However, traffic accidents information and data provided by public organisms can be exploited to classify these accidents according to their type and sever
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96ce7acdda5fc12f9e250d8db7416206
https://hdl.handle.net/11268/7537
https://hdl.handle.net/11268/7537
Publikováno v:
ICVES
This article presents the development of a geographical information system (GIS). App to visualize hotspots in the road network inside the metropolitan area of Madrid. On the other hand, this App aims to warn drivers when approaching those spots. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c13e4efbadbd0aab75670993f979d0f
https://hdl.handle.net/11268/7554
https://hdl.handle.net/11268/7554