Zobrazeno 1 - 10
of 689
pro vyhledávání: '"Parra I"'
Autor:
Torres-Durán M, López-Campos JL, Calle Rubio M, Montero-Martínez C, Priegue Carrera A, Amaro Rodríguez R, Barrecheguren M, Barrio Guirado MA, Callejas-González FJ, Casas-Maldonado F, Diab-Cáceres L, García-Meseguer P, Hernández-Pérez JM, Lázaro-Asegurado L, Martínez-González C, Martínez Rivera C, Michel FJ, Montoro-Ronsano JB, Sánchez R, Ortiz-Pica M, Parra I, Quintero García JP, Ruiz-Serrano-de la Espada MDR, Tortajada-Goitia B, Miravitlles M
Publikováno v:
International Journal of COPD, Vol Volume 18, Pp 1691-1700 (2023)
María Torres-Durán,1 José Luis López-Campos,2,3 Myriam Calle Rubio,4 Carmen Montero-Martínez,5 Ana Priegue Carrera,6 Rosanel Amaro Rodríguez,7 Miriam Barrecheguren,8 María Ángeles Barrio Guirado,9 Francisco Javier Callejas-González,10 Franci
Externí odkaz:
https://doaj.org/article/c8f08618690140e298e1c7453d4e32b6
This paper presents the results of real-world testing of human-vehicle interactions with an autonomous vehicle equipped with internal and external Human Machine Interfaces (HMIs) in a crosswalk scenario. The internal and external HMIs were combined w
Externí odkaz:
http://arxiv.org/abs/2307.12708
Understanding the behavior of road users is of vital importance for the development of trajectory prediction systems. In this context, the latest advances have focused on recurrent structures, establishing the social interaction between the agents in
Externí odkaz:
http://arxiv.org/abs/2106.00559
Understanding pedestrian crossing behavior is an essential goal in intelligent vehicle development, leading to an improvement in their security and traffic flow. In this paper, we developed a method called IntFormer. It is based on transformer archit
Externí odkaz:
http://arxiv.org/abs/2105.08647
Publikováno v:
2020 IEEE Intelligent Vehicles Symposium (IV), 2020, pp. 45-50
While driving on highways, every driver tries to be aware of the behavior of surrounding vehicles, including possible emergency braking, evasive maneuvers trying to avoid obstacles, unexpected lane changes, or other emergencies that could lead to an
Externí odkaz:
http://arxiv.org/abs/2009.05331
Road detection and segmentation is a crucial task in computer vision for safe autonomous driving. With this in mind, a new net architecture (3D-DEEP) and its end-to-end training methodology for CNN-based semantic segmentation are described along this
Externí odkaz:
http://arxiv.org/abs/2009.00330
This paper describes a novel approach to perform vehicle trajectory predictions employing graphic representations. The vehicles are represented using Gaussian distributions into a Bird Eye View. Then the U-net model is used to perform sequence to seq
Externí odkaz:
http://arxiv.org/abs/2008.11493
Waveguide arrays offer enormous potential to design circuit elements essential to fabricate optical devices capable to processing information codified by light. In this work we study the existence and stability of localized beams in one dimensional p
Externí odkaz:
http://arxiv.org/abs/2005.10744
Publikováno v:
In Journal of Energy Storage 30 November 2023 72 Part E
Publikováno v:
Constructive Approximation 53 (2021) 441-478
We show that several families of classical orthogonal polynomials on the real line are also orthogonal on the interior of an ellipse in the complex plane, subject to a weighted planar Lebesgue measure. In particular these include Gegenbauer polynomia
Externí odkaz:
http://arxiv.org/abs/1905.02397