Modelling Hot Deformation Of Fe-Ni Alloys For The Aerospace Industry. - Jesús Urdiales; Víctor Paramo; Maribel de la Garza; Martha Guerrero; Gustavo Sanchez (ECMS, 2009)

Mobile based pedestrian detection with accurate tracking. - Fernando García 002; Jesús Urdiales; Juan Carmona; David Martín 001; José María Armingol (Intelligent Vehicles Symposium, 2016)

Cost-efficient driver state and road conditions monitoring system for conditional automation. - Arman Allamehzadeh; Jesús Urdiales de la Parra; Ahmed Hussein 003; Fernando García 002; Cristina Olaverri-Monreal (Intelligent Vehicles Symposium, 2017)

A Method for Synthetic LiDAR Generation to Create Annotated Datasets for Autonomous Vehicles Perception. - Jorge Beltrán; Irene Cortés; Alejandro Barrera; Jesús Urdiales; Carlos Guindel; Fernando García 002; Arturo de la Escalera (ITSC, 2019)

Towards Autonomous Driving: a Multi-Modal 360° Perception Proposal. - Jorge Beltrán; Carlos Guindel; Irene Cortés; Alejandro Barrera; Armando Astudillo; Jesús Urdiales; Mario Álvarez; Farid Bekka; Vicente Milanés; Fernando García 002 (ITSC, 2020)

Towards Autonomous Driving: a Multi-Modal 360° Perception Proposal. - Jorge Beltrán; Carlos Guindel; Irene Cortés; Alejandro Barrera; Armando Astudillo; Jesús Urdiales; Mario Álvarez; Farid Bekka; Vicente Milanés; Fernando García 002 (CoRR, 2020)

Deep Learning Data Association Applied to Multi-object Tracking Systems. - Jesús Urdiales; David Martín 001; Jose M. Armingol (EUROCAST, 2022)

An improved deep learning architecture for multi-object tracking systems. - Jesús Urdiales; David Martín 001; José María Armingol (Integr. Comput. Aided Eng., 2023)