1 code implementation • 11 Dec 2023 • David Fernández Llorca, Pedro Frau, Ignacio Parra, Rubén Izquierdo, Emilia Gómez
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).
no code implementations • 11 Dec 2023 • Rubén Izquierdo, Javier Alonso, Ola Benderius, Miguel Ángel Sotelo, David Fernández Llorca
The internal and external HMIs were integrated with implicit communication techniques, incorporating a combination of gentle and aggressive braking maneuvers within the crosswalk.
no code implementations • 4 Jul 2022 • Rubén Izquierdo, Álvaro Quintanar, David Fernández Llorca, Iván García Daza, Noelia Hernández, Ignacio Parra, Miguel Ángel Sotelo
The U-net model has been selected as the prediction kernel to generate future visual representations of the scene using an image-to-image regression approach.
no code implementations • 14 Apr 2021 • Noelia Hernández, Ignacio Parra, Héctor Corrales, Rubén Izquierdo, Augusto Luis Ballardini, Carlota Salinas, Iván Garcia
Different technologies have been proposed to provide indoor localisation: magnetic field, bluetooth , WiFi, etc.
no code implementations • 5 Feb 2020 • Augusto Luis Ballardini, Daniele Cattaneo, Rubén Izquierdo, Ignacio Parra Alonso, Andrea Piazzoni, Miguel Ángel Sotelo, Domenico Giorgio Sorrenti
We present a probabilistic ego-lane estimation algorithm for highway-like scenarios that is designed to increase the accuracy of the ego-lane estimate, which can be obtained relying only on a noisy line detector and tracker.