Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Miguel Á. Sotelo"'
Autor:
Carlos Fernández, Jesús Muñoz-Bulnes, David Fernández-Llorca, Ignacio Parra, Iván García-Daza, Rubén Izquierdo, Miguel Á. Sotelo
Publikováno v:
Journal of Advanced Transportation, Vol 2018 (2018)
This paper addresses the problem of high-level road modeling for urban environments. Current approaches are based on geometric models that fit well to the road shape for narrow roads. However, urban environments are more complex and those models are
Externí odkaz:
https://doaj.org/article/e09df49eea2d49e189183cd42247b383
Autor:
Serrano, Sergio Martín, Llorca, David Fernández, Daza, Iván García, Vázquez, Miguel Ángel Sotelo
Simulations are gaining increasingly significance in the field of autonomous driving due to the demand for rapid prototyping and extensive testing. Employing physics-based simulation brings several benefits at an affordable cost, while mitigating pot
Externí odkaz:
http://arxiv.org/abs/2309.04418
Publikováno v:
In IFAC Proceedings Volumes July 2004 37(8):310-315
Publikováno v:
Journal of Advanced Transportation, Vol 2017 (2017)
A hybrid vision-map system is presented to solve the road detection problem in urban scenarios. The standardized use of machine learning techniques in classification problems has been merged with digital navigation map information to increase system
Externí odkaz:
https://doaj.org/article/251ceaf2dda34865b64822e119464692
Autor:
Alejandro Amírola, Pedro Yarza, Pedro Aliseda, Manuel Ocaña, Ignacio Parra, Miguel A. Sotelo, David F. Llorca, Miguel Gavilán, Oscar Marcos, David Balcones
Publikováno v:
Sensors, Vol 11, Iss 10, Pp 9628-9657 (2011)
This paper presents a road distress detection system involving the phases needed to properly deal with fully automatic road distress assessment. A vehicle equipped with line scan cameras, laser illumination and acquisition HW-SW is used to storage th
Externí odkaz:
https://doaj.org/article/504139abeef44b5eaefbe1f99a3383b4
Autor:
Álvaro Marcos, José M. Cañas, Cristina Losada, Daniel Pizarro, Manuel Mazo, Miguel A. Sotelo, Juan C. García, Marta Marrón-Romera
Publikováno v:
Sensors, Vol 10, Iss 10, Pp 8865-8887 (2010)
This paper presents a novel system capable of solving the problem of tracking multiple targets in a crowded, complex and dynamic indoor environment, like those typical of mobile robot applications. The proposed solution is based on a stereo vision se
Externí odkaz:
https://doaj.org/article/353e86e0d80345ac911eaef1184b2350
Publikováno v:
Sensors, Vol 10, Iss 4, Pp 3741-3758 (2010)
This paper presents an analytical study of the depth estimation error of a stereo vision-based pedestrian detection sensor for automotive applications such as pedestrian collision avoidance and/or mitigation. The sensor comprises two synchronized and
Externí odkaz:
https://doaj.org/article/b48967141ef84aa39f29f92616638162
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 10 (2013)
At present, the topic of automated vehicles is one of the most promising research areas in the field of Intelligent Transportation Systems (ITS). The use of automated vehicles for public transportation also contributes to reductions in congestion lev
Externí odkaz:
https://doaj.org/article/6196234b623644abbd20b50ee2726bed