CNNs for Fine-Grained Car Model Classification. - Héctor Corrales Sánchez; David Fernández Llorca; Ignacio Parra; S. Vigre; Álvaro Quintanar; Javier Lorenzo 002; Noelia Hernández (EUROCAST (2), 2019)

The PREVENTION dataset: a novel benchmark for PREdiction of VEhicles iNTentIONs. - Rubén Izquierdo; Álvaro Quintanar; Ignacio Parra; David Fernández Llorca; Miguel Ángel Sotelo (ITSC, 2019)

Experimental validation of lane-change intention prediction methodologies based on CNN and LSTM. - Rubén Izquierdo; Álvaro Quintanar; Ignacio Parra; David Fernández Llorca; Miguel Ángel Sotelo (ITSC, 2019)

Vehicle Trajectory Prediction in Crowded Highway Scenarios Using Bird Eye View Representations and CNNs. - Rubén Izquierdo; Álvaro Quintanar; Ignacio Parra; David Fernández Llorca; Miguel Ángel Sotelo (ITSC, 2020)

The PREVENTION Challenge: How Good Are Humans Predicting Lane Changes? - Álvaro Quintanar; Rubén Izquierdo; Ignacio Parra; David Fernández Llorca; Miguel Ángel Sotelo (IV, 2020)

Predicting Vehicles Trajectories in Urban Scenarios with Transformer Networks and Augmented Information. - Álvaro Quintanar; David Fernández Llorca; Ignacio Parra; Rubén Izquierdo; Miguel Ángel Sotelo (IV, 2021)

Vehicle Lane Change Prediction on Highways Using Efficient Environment Representation and Deep Learning. - Rubén Izquierdo; Álvaro Quintanar; Javier Lorenzo 002; Iván García Daza; Ignacio Parra; David Fernández Llorca; Miguel Ángel Sotelo (IEEE Access, 2021)

Vehicle trajectory prediction on highways using bird eye view representations and deep learning. - Rubén Izquierdo; Álvaro Quintanar; David Fernández Llorca; Iván García Daza; Noelia Hernández; Ignacio Parra; Miguel Ángel Sotelo (Appl. Intell., 2023)