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 • 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 • 26 Aug 2020 • Javier Lorenzo, Ignacio Parra, Florian Wirth, Christoph Stiller, David Fernandez Llorca, Miguel Angel Sotelo
Pedestrian crossing prediction is a crucial task for autonomous driving.
no code implementations • 30 Apr 2020 • Raul Quintero, Ignacio Parra, David Fernandez Llorca, Miguel Angel Sotelo
According to several reports published by worldwide organisations, thousands of pedestrians die in road accidents every year.