Zobrazeno 1 - 10
of 196
pro vyhledávání: '"Sotelo, Miguel Angel"'
Autor:
Serrano, Sergio Martín, Blanco, Óscar Méndez, Worrall, Stewart, Sotelo, Miguel Ángel, Fernández-Llorca, David
Understanding cultural backgrounds is crucial for the seamless integration of autonomous driving into daily life as it ensures that systems are attuned to diverse societal norms and behaviours, enhancing acceptance and safety in varied cultural conte
Externí odkaz:
http://arxiv.org/abs/2408.03003
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:
Hussien, Mohamed Manzour, Melo, Angie Nataly, Ballardini, Augusto Luis, Maldonado, Carlota Salinas, Izquierdo, Rubén, Sotelo, Miguel Ángel
Prediction of road users' behaviors in the context of autonomous driving has gained considerable attention by the scientific community in the last years. Most works focus on predicting behaviors based on kinematic information alone, a simplification
Externí odkaz:
http://arxiv.org/abs/2405.00449
Autor:
Izquierdo, Rubén, Alonso, Javier, Benderius, Ola, Sotelo, Miguel Ángel, Llorca, David Fernández
This study presents the outcomes of empirical investigations pertaining to human-vehicle interactions involving an autonomous vehicle equipped with both internal and external Human Machine Interfaces (HMIs) within a crosswalk scenario. The internal a
Externí odkaz:
http://arxiv.org/abs/2312.07606
In the context of autonomous driving, pedestrian crossing prediction is a key component for improving road safety. Presently, the focus of these predictions extends beyond achieving trustworthy results; it is shifting towards the explainability and i
Externí odkaz:
http://arxiv.org/abs/2312.02872
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:
Limeros, Sandra Carrasco, Majchrowska, Sylwia, Johnander, Joakim, Petersson, Christoffer, Sotelo, Miguel Ángel, Llorca, David Fernández
Publikováno v:
CAAI Transactions on Intelligence Technology 24686557 (ISSN) 24682322 (eISSN) 2023
Predicting the motion of other road agents enables autonomous vehicles to perform safe and efficient path planning. This task is very complex, as the behaviour of road agents depends on many factors and the number of possible future trajectories can
Externí odkaz:
http://arxiv.org/abs/2210.16144
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 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:
Hussien, Mohamed Manzour, Melo, Angie Nataly, Ballardini, Augusto Luis, Maldonado, Carlota Salinas, Izquierdo, Rubén, Sotelo, Miguel Ángel
Publikováno v:
In Expert Systems With Applications 15 March 2025 265
