Zobrazeno 1 - 10
of 719
pro vyhledávání: '"Iván Garcia"'
Autor:
Martínez, Antonio Hernández, Daza, Iván García, López, Carlos Fernández, Llorca, David Fernández
Accurate vision-based speed estimation is much more cost-effective than traditional methods based on radar or LiDAR. However, it is also challenging due to the limitations of perspective projection on a discrete sensor, as well as the high sensitivit
Externí odkaz:
http://arxiv.org/abs/2407.08380
Autor:
Serrano, Sergio. Martín, Izquierdo, Rubén, Daza, Iván García, Sotelo, Miguel Ángel, Llorca, D. Fernández
In the field of autonomous driving research, the use of immersive virtual reality (VR) techniques is widespread to enable a variety of studies under safe and controlled conditions. However, this methodology is only valid and consistent if the conduct
Externí odkaz:
http://arxiv.org/abs/2407.04070
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
Autor:
Serrano, Sergio Martín, Izquierdo, Rubén, Daza, Iván García, Sotelo, Miguel Ángel, Llorca, David Fernández
This paper presents the results of tests of interactions between real humans and simulated vehicles in a virtual scenario. Human activity is inserted into the virtual world via a virtual reality interface for pedestrians. The autonomous vehicle is eq
Externí odkaz:
http://arxiv.org/abs/2303.11463
Autor:
Izquierdo, Rubén, Quintanar, Álvaro, Llorca, David Fernández, Daza, Iván García, Hernández, Noelia, Parra, Ignacio, Sotelo, Miguel Ángel
This work presents a novel method for predicting vehicle trajectories in highway scenarios using efficient bird's eye view representations and convolutional neural networks. Vehicle positions, motion histories, road configuration, and vehicle interac
Externí odkaz:
http://arxiv.org/abs/2207.01407
The use of cameras for vehicle speed measurement is much more cost effective compared to other technologies such as inductive loops, radar or laser. However, accurate speed measurement remains a challenge due to the inherent limitations of cameras to
Externí odkaz:
http://arxiv.org/abs/2206.00343
The role of simulation in autonomous driving is becoming increasingly important due to the need for rapid prototyping and extensive testing. The use of physics-based simulation involves multiple benefits and advantages at a reasonable cost while elim
Externí odkaz:
http://arxiv.org/abs/2206.00337
Autor:
Mendez-Ruiz, Mauricio, Gonzalez-Zapata, Ivan Garcia Jorge, Ochoa-Ruiz, Gilberto, Mendez-Vazquez, Andres
Few-shot learning is a relatively new technique that specializes in problems where we have little amounts of data. The goal of these methods is to classify categories that have not been seen before with just a handful of samples. Recent approaches, s
Externí odkaz:
http://arxiv.org/abs/2107.06992
Autor:
Cesar, Alva-Ensastegui Julio, Rodrigo, Rivera-Millán, Liliana, Aranda-Lara, Ivan, García-Orozco, Blanca, Ocampo-García, Keila, Isaac-Olivé, Enrique, Morales-Avila
Publikováno v:
In Journal of Molecular Structure 15 April 2024 1302
Autor:
Martínez, Antonio Hernández, Díaz, Javier Lorenzo, Daza, Iván García, Llorca, David Fernández
Despite all the challenges and limitations, vision-based vehicle speed detection is gaining research interest due to its great potential benefits such as cost reduction, and enhanced additional functions. As stated in a recent survey [1], the use of
Externí odkaz:
http://arxiv.org/abs/2104.09903