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360$^$ Real-Time 3D Multi-object Detection and Tracking for Autonomous Vehicle Navigation.

J. del Egido, C. Huélamo, L. Bergasa, R. Barea, E. Guillén, J. Araluce, R. Gutiérrez, и M. Antunes. WAF, том 1285 из Advances in Intelligent Systems and Computing, стр. 241-255. Springer, (2020)

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Javier Jáurequi

Javier Manero

Javier Dreyer

Javier Papa

Javier Arpón

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Gaze Focalization System for Driving Applications Using OpenFace 2.0 Toolkit with NARMAX Algorithm in Accidental Scenarios.J. Araluce, L. Bergasa, M. Ocaña, E. Guillén, P. Revenga, J. Arango, и Ó. Pérez-Gil. Sensors, 21 (18): 6262 (2021)Including Transfer Learning and Synthetic Data in a Training Process of a 2D Object Detector for Autonomous Driving.M. Antunes, L. Bergasa, J. Araluce, R. Gutiérrez, J. Arango, и M. Ocaña. ROBOT (2), том 590 из Lecture Notes in Networks and Systems, стр. 465-478. Springer, (2022)Naturalistic Driving Study for Older Drivers based on the DriveSafe App.L. Bergasa, J. Araluce, E. Romera, R. Barea, E. Guillén, J. del Egido, и C. Hernanz-Mayoral. ITSC, стр. 1574-1579. IEEE, (2019)ARAGAN: A dRiver Attention estimation model based on conditional Generative Adversarial Network.J. Araluce, L. Bergasa, M. Ocaña, R. Barea, E. Guillén, и P. Revenga. IV, стр. 1066-1072. IEEE, (2022)Integrating OpenFace 2.0 Toolkit for Driver Attention Estimation in Challenging Accidental Scenarios.J. Araluce, L. Bergasa, C. Huélamo, R. Barea, E. Guillén, J. Arango, и Ó. Pérez-Gil. WAF, том 1285 из Advances in Intelligent Systems and Computing, стр. 274-288. Springer, (2020)Self-driving a Car in Simulation Through a CNN.J. del Egido, L. Bergasa, E. Romera, C. Huélamo, J. Araluce, и R. Barea. WAF, том 855 из Advances in Intelligent Systems and Computing, стр. 31-43. Springer, (2018)How to build and validate a safe and reliable Autonomous Driving stack? A ROS based software modular architecture baseline.C. Huélamo, A. Díaz, J. Araluce, M. Ortiz, R. Gutiérrez, F. Arango, A. Llamazares, и L. Bergasa. IV, стр. 1282-1289. IEEE, (2022)Train here, drive there: ROS based end-to-end autonomous-driving pipeline validation in CARLA simulator using the NHTSA typology.C. Huélamo, J. del Egido, L. Bergasa, R. Barea, E. Guillén, J. Arango, J. Araluce, и J. López. Multim. Tools Appl., 81 (3): 4213-4240 (2022)Driver Take-Over Behaviour Study Based on Gaze Focalization and Vehicle Data in CARLA Simulator.J. Araluce, L. Bergasa, M. Ocaña, E. Guillén, R. Gutiérrez-Moreno, и J. Arango. Sensors, 22 (24): 9993 (2022)Validation Method of a Self-Driving Architecture for Unexpected Pedestrian Scenario in CARLA Simulator.R. Gutiérrez, J. Arango, C. Huélamo, L. Bergasa, R. Barea, и J. Araluce. IV, стр. 1144-1149. IEEE, (2021)

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