Topological Road Mapping for Autonomous Driving Applications. - Esther Murciego; Carlos Gómez Huélamo; Rafael Barea; Luis Miguel Bergasa; Eduardo Romera; Juan Felipe Arango; Miguel Tradacete; Álvaro Sáez (WAF, 2018)

Positioning System for an Electric Autonomous Vehicle Based on the Fusion of Multi-GNSS RTK and Odometry by Using an Extented Kalman Filter. - Miguel Tradacete; Álvaro Sáez; Juan Felipe Arango; Carlos Gómez Huélamo; Pedro A. Revenga; Rafael Barea; Elena López Guillén; Luis Miguel Bergasa (WAF, 2018)

Simulating use cases for the UAH Autonomous Electric Car. - Carlos Gómez Huélamo; Luis Miguel Bergasa; Rafael Barea; Elena López Guillén; Juan Felipe Arango; Pablo Sánchez (ITSC, 2019)

Real-Time Bird's Eye View Multi-Object Tracking system based on Fast Encoders for Object Detection. - Carlos Gómez Huélamo; Javier del Egido; Luis Miguel Bergasa; Rafael Barea; Manuel Ocaña; Juan Felipe Arango; Rodrigo Gutiérrez-Moreno (ITSC, 2020)

Integrating OpenFace 2.0 Toolkit for Driver Attention Estimation in Challenging Accidental Scenarios. - Javier Araluce; Luis Miguel Bergasa; Carlos Gómez Huélamo; Rafael Barea; Elena López Guillén; Juan Felipe Arango; Óscar Pérez-Gil (WAF, 2020)

Train Here, Drive There: Simulating Real-World Use Cases with Fully-Autonomous Driving Architecture in CARLA Simulator. - Carlos Gómez Huélamo; Javier del Egido; Luis Miguel Bergasa; Rafael Barea; Elena López Guillén; Juan Felipe Arango; Javier Araluce; Joaquín López (WAF, 2020)

Drive-By-Wire Development Process Based on ROS for an Autonomous Electric Vehicle. - Juan Felipe Arango; Luis Miguel Bergasa; Pedro A. Revenga; Rafael Barea; Elena López Guillén; Carlos Gómez Huélamo; Javier Araluce; Rodrigo Gutiérrez (Sensors, 2020)

A Waypoint Tracking Controller for Autonomous Road Vehicles Using ROS Framework. - Rodrigo Gutiérrez; Elena López Guillén; Luis Miguel Bergasa; Rafael Barea; Óscar Pérez-Gil; Carlos Gómez Huélamo; Juan Felipe Arango; Javier del Egido; Joaquín López (Sensors, 2020)

Validation Method of a Self-Driving Architecture for Unexpected Pedestrian Scenario in CARLA Simulator. - Rodrigo Gutiérrez; Juan Felipe Arango; Carlos Gómez Huélamo; Luis Miguel Bergasa; Rafael Barea; Javier Araluce (IV, 2021)

SmartMOT: Exploiting the fusion of HDMaps and Multi-Object Tracking for Real-Time scene understanding in Intelligent Vehicles applications. - Carlos Gómez Huélamo; Luis Miguel Bergasa; Rodrigo Gutiérrez; Juan Felipe Arango; Alejandro Díaz (IV, 2021)

Gaze Focalization System for Driving Applications Using OpenFace 2.0 Toolkit with NARMAX Algorithm in Accidental Scenarios. - Javier Araluce; Luis Miguel Bergasa; Manuel Ocaña; Elena López Guillén; Pedro A. Revenga; Juan Felipe Arango; Óscar Pérez-Gil (Sensors, 2021)

AD PerDevKit: An Autonomous Driving Perception Development Kit using CARLA simulator and ROS. - Javier de la Peña; Luis Miguel Bergasa; Miguel Antunes; Juan Felipe Arango; Carlos Gómez Huélamo; Elena López Guillén (ITSC, 2022)

How to build and validate a safe and reliable Autonomous Driving stack? A ROS based software modular architecture baseline. - Carlos Gómez Huélamo; Alejandro Díaz; Javier Araluce; Miguel E. Ortiz; Rodrigo Gutiérrez; Felipe Arango; Angel Llamazares; Luis Miguel Bergasa (IV, 2022)

Including Transfer Learning and Synthetic Data in a Training Process of a 2D Object Detector for Autonomous Driving. - Miguel Antunes; Luis Miguel Bergasa; Javier Araluce; Rodrigo Gutiérrez; Juan Felipe Arango; Manuel Ocaña (ROBOT (2), 2022)

Train here, drive there: ROS based end-to-end autonomous-driving pipeline validation in CARLA simulator using the NHTSA typology. - Carlos Gómez Huélamo; Javier del Egido; Luis Miguel Bergasa; Rafael Barea; Elena López Guillén; Juan Felipe Arango; Javier Araluce; Joaquín López (Multim. Tools Appl., 2022)

Driver Take-Over Behaviour Study Based on Gaze Focalization and Vehicle Data in CARLA Simulator. - Javier Araluce; Luis Miguel Bergasa; Manuel Ocaña; Elena López Guillén; Rodrigo Gutiérrez-Moreno; Juan Felipe Arango (Sensors, 2022)

Augmented Reinforcement Learning with Efficient Social-Based Motion Prediction for Autonomous Decision-Making. - Rodrigo Gutiérrez-Moreno; Carlos Gómez Huélamo; Rafael Barea; Elena López Guillén; Felipe Arango; Luis Miguel Bergasa (ITSC, 2023)

Hybrid Decision Making for Autonomous Driving in Complex Urban Scenarios. - Rodrigo Gutiérrez-Moreno; Rafael Barea; María Elena López Guillén; Juan Felipe Arango; Navil Abdeselam; Luis Miguel Bergasa (IV, 2023)

Green Deep Learning: Comparative Study of Road Object Detectors Between Jetson Boards and PC. - Fabio Sánchez-García; Felipe Arango; Carlos Gómez Huélamo; Manuel Ocaña; Pedro A. Revenga; Luis Miguel Bergasa (ROBOT (1), 2023)

Decision Making for Autonomous Driving Stack: Shortening the Gap from Simulation to Real-World Implementations. - Rodrigo Gutiérrez-Moreno; Rafael Barea; Elena López Guillén; Felipe Arango; Pedro A. Revenga; Luis Miguel Bergasa (IV, 2024)