Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Pablo Marin-Plaza"'
Autor:
Sheida Nozari, Ali Krayani, Pablo Marin-Plaza, Lucio Marcenaro, David Martin Gomez, Carlo Regazzoni
Publikováno v:
IEEE Access, Vol 10, Pp 49738-49756 (2022)
Classical imitation learning methods suffer substantially from the learning hierarchical policies when the imitative agent faces an unobserved state by the expert agent. To address these drawbacks, we propose an online active learning through active
Externí odkaz:
https://doaj.org/article/438b061716e647899de6b83136db530d
Publikováno v:
Journal of Advanced Transportation, Vol 2018 (2018)
The aim of this work is to integrate and analyze the performance of a path planning method based on Time Elastic Bands (TEB) in real research platform based on Ackermann model. Moreover, it will be proved that all modules related to the navigation ca
Externí odkaz:
https://doaj.org/article/1f42abc84b6743779b5ad8d386e0a6b2
Autor:
Hafsa Iqbal, Damian Campo, Pablo Marin-Plaza, Lucio Marcenaro, David Martin Gomez, Carlo Regazzoni
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:14608-14619
Autor:
José María Armingol, Pablo Marin-Plaza, Javier Garcia, Miguel Ángel de Miguel, Francisco Royo, Fernando Viadero-Monasterio, José Luis San Roman, Alejandro Ruiz-de-la-Cuadra, David Yagüe, Francisco Miguel Moreno
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
Electronics, Vol 10, Iss 1753, p 1753 (2021)
Electronics
Volume 10
Issue 15
instname
Electronics, Vol 10, Iss 1753, p 1753 (2021)
Electronics
Volume 10
Issue 15
This article belongs to the Special Issue Intelligent Control of Mobile Robotics. The expansion of electric vehicles in urban areas has paved the way toward the era of autonomous vehicles, improving the performance in smart cities and upgrading relat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db0b5e618702cfbceb06cc854691aba1
https://doi.org/10.3390/electronics10151753
https://doi.org/10.3390/electronics10151753
Autor:
Carlo S. Regazzoni, Pablo Marin-Plaza, David Martin Gomez, Mario Marchese, Fabio Patrone, Divya Kanapram, Eliane Bodanese, Lucio Marcenaro
The advancements in connected and autonomous vehicles in these times demand the availability of tools providing the agents with the capability to be aware and predict their own states and context dynamics. This article presents a novel approach to de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc4741cdd3ea23190b5a583e7f4d9098
http://arxiv.org/abs/2010.14908
http://arxiv.org/abs/2010.14908
Autor:
Carlo S. Regazzoni, Divya Kanapram, David Martin, Arturo de la Escalera, Lucio Marcenaro, Pablo Marin-Plaza
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030359898
The evolution of Intelligent Transportation System in recent times necessitates the development of self-driving agents: the self-awareness consciousness. This paper aims to introduce a novel method to detect abnormalities based on internal cross-corr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0db542a981c1a5ab93dad75b4e930020
https://doi.org/10.1007/978-3-030-35990-4_18
https://doi.org/10.1007/978-3-030-35990-4_18
Publikováno v:
Journal of Advanced Transportation, Vol 2018 (2018)
Self-driving cars are attracting significant attention during the last few years, which makes the technology advances jump fast and reach a point of having a number of automated vehicles on the roads. Therefore, the necessity of cooperative driving f
Publikováno v:
Journal of Advanced Transportation, Vol 2018 (2018)
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)
The aim of this work is to integrate and analyze the performance of a path planning method based on Time Elastic Bands (TEB) in real research platform based on Ackermann model. Moreover, it will be proved that all modules related to the navigation ca