Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Ruben Izquierdo"'
Autor:
Augusto Luis Ballardini, Daniele Cattaneo, Ruben Izquierdo, Ignacio Parra, Andrea Piazzoni, Miguel Angel Sotelo, Domenico Giorgio Sorrenti
Publikováno v:
IEEE Access, Vol 12, Pp 34539-34552 (2024)
Accurate vehicle localization at the level of individual lanes is crucial to ensure the safe and efficient operation of autonomous vehicles, serving as a cornerstone for the development of future Advanced Driving Assistance Systems (ADAS). Contempora
Externí odkaz:
https://doaj.org/article/df863f05bd074ad1a1e7add77b0a167f
Autor:
Ruben Izquierdo, Alvaro Quintanar, Javier Lorenzo, Ivan Garcia-Daza, Ignacio Parra, David Fernandez-Llorca, Miguel Angel Sotelo
Publikováno v:
IEEE Access, Vol 9, Pp 119454-119465 (2021)
This paper introduces a novel method of lane-change and lane-keeping detection and prediction of surrounding vehicles based on Convolutional Neural Network (CNN) classification approach. Context, interaction, vehicle trajectories, and scene appearanc
Externí odkaz:
https://doaj.org/article/d93da0ef841447bdaa7203c80f98625e
Autor:
Hector Corrales Sanchez, Antonio Hernandez Martinez, Ruben Izquierdo Gonzalo, Noelia Hernandez Parra, Ignacio Parra Alonso, David Fernandez-Llorca
Publikováno v:
IEEE Access, Vol 8, Pp 132539-132550 (2020)
Significant progress on human and vehicle pose estimation has been achieved in recent years. The performance of these methods has evolved from poor to remarkable in just a couple of years. This improvement has been obtained from increasingly complex
Externí odkaz:
https://doaj.org/article/33c0ef46996a49acbbaa006be2489354
Autor:
Iván García Daza, Mónica Rentero, Carlota Salinas Maldonado, Ruben Izquierdo Gonzalo, Noelia Hernández Parra, Augusto Ballardini, David Fernandez Llorca
Publikováno v:
Sensors, Vol 20, Iss 15, p 4097 (2020)
Autonomous driving systems are set to become a reality in transport systems and, so, maximum acceptance is being sought among users. Currently, the most advanced architectures require driver intervention when functional system failures or critical se
Externí odkaz:
https://doaj.org/article/a05a3b4016b84f6da6e42d91d7587d74
Autor:
Gonzalo, Rubén Izquierdo, Maldonado, Carlota Salinas, Ruiz, Javier Alonso, Alonso, Ignacio Parra, Llorca, David Fernández, Sotelo, Miguel Á.
Conventional vehicles are certified through classical approaches, where different physical certification tests are set up on test tracks to assess required safety levels. These approaches are well suited for vehicles with limited complexity and limit
Externí odkaz:
http://arxiv.org/abs/2205.10115
Autor:
Daza, Iván García, Rentero, Monica, Maldonado, Carlota Salinas, Gonzalo, Rubén Izquierdo, Parra, Noelia Hernández, Ballardini, Augusto Luis, Llorca, David Fernández
Publikováno v:
Sensors 2020
Autonomous driving systems are set to become a reality in transport systems and, so, maximum acceptance is being sought among users. Currently, the most advanced architectures require driver intervention when functional system failures or critical se
Externí odkaz:
http://arxiv.org/abs/2103.03626
Autor:
Ruben Izquierdo Gonzalo, Carlota Salinas Maldonado, Javier Alonso Ruiz, Ignacio Parra Alonso, David Fernandez Llorca, Miguel Angel Sotelo
Publikováno v:
IEEE Intelligent Transportation Systems Magazine. 14:77-93
Conventional vehicles are certified through classical approaches, where different physical certification tests are set up on test tracks to assess required safety levels. These approaches are well suited for vehicles with limited complexity and limit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b7f185f285763be261d07e4f168d142
https://doi.org/10.1109/mits.2022.3170649
https://doi.org/10.1109/mits.2022.3170649
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-30 (2024)
Abstract This paper addresses the often overlooked issue of fairness in the autonomous driving domain, particularly in vision-based perception and prediction systems, which play a pivotal role in the overall functioning of Autonomous Vehicles (AVs).
Externí odkaz:
https://doaj.org/article/a07f2e2bed054f63b830b617fa2f6473
Publikováno v:
ITSC
In highway scenarios, an alert human driver will typically anticipate early cut-in and cut-out maneuvers of surrounding vehicles using only visual cues. An automated system must anticipate these situations at an early stage too, to increase the safet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::debcc6ad6eed816aecc77579abd40b2f
http://arxiv.org/abs/2008.10869
http://arxiv.org/abs/2008.10869
Publikováno v:
IEEE Transactions on Intelligent Vehicles; September 2022, Vol. 7 Issue: 3 p569-578, 10p