Self-driving a Car in Simulation Through a CNN. - Javier del Egido; Luis Miguel Bergasa; Eduardo Romera; Carlos Gómez Huélamo; Javier Araluce; Rafael Barea (WAF, 2018)

Convolutional Neural Network vs Traditional Methods for Offline Recognition of Handwritten Digits. - Edwin Antonio Enriquez; Nelly Gordillo Castillo; Luis Miguel Bergasa; Eduardo Romera; Carlos Gómez Huélamo (WAF, 2018)

Change Detection Tool Based on GSV to Help DNNs Training. - Carlos Gómez Huélamo; Pablo F. Alcantarilla; Luis Miguel Bergasa; Elena López Guillén (WAF, 2018)

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 Semantic Segmentation for Fisheye Urban Driving Images Based on ERFNet. - Álvaro Sáez; Luis Miguel Bergasa; María Elena López Guillén; Eduardo Romera; Miguel Tradacete; Carlos Gómez Huélamo; Javier del Egido (Sensors, 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)

360$^{ circ }$ Real-Time 3D Multi-object Detection and Tracking for Autonomous Vehicle Navigation. - Javier del Egido; Carlos Gómez Huélamo; Luis Miguel Bergasa; Rafael Barea; Elena López Guillén; Javier Araluce; Rodrigo Gutiérrez; Miguel Antunes (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)

Deep Reinforcement Learning based control algorithms: Training and validation using the ROS Framework in CARLA Simulator for Self-Driving applications. - Óscar Pérez-Gil; Rafael Barea; Elena López Guillén; Luis Miguel Bergasa; Carlos Gómez Huélamo; Rodrigo Gutiérrez; Alejandro Díaz (IV, 2021)

Exploring Attention GAN for Vehicle Motion Prediction. - Carlos Gómez Huélamo; Marcos V. Conde; Miguel Ortiz; Santiago Montiel; Rafael Barea; Luis Miguel Bergasa (ITSC, 2022)

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)

HD maps: Exploiting OpenDRIVE potential for Path Planning and Map Monitoring. - Alejandro Diaz-Diaz; Manuel Ocaña; Angel Llamazares; Carlos Gómez Huélamo; Pedro A. Revenga; Luis Miguel Bergasa (IV, 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)

Towards LiDAR and RADAR Fusion for Object Detection and Multi-object Tracking in CARLA Simulator. - Santiago Montiel-Marín; Carlos Gómez Huélamo; Javier de la Peña; Miguel Antunes; Elena López Guillén; Luis Miguel Bergasa (ROBOT (2), 2022)

Exploring Map-based Features for Efficient Attention-based Vehicle Motion Prediction. - Carlos Gómez Huélamo; Marcos V. Conde; Miguel Ortiz (CoRR, 2022)

$360^{ circ }$ real-time and power-efficient 3D DAMOT for autonomous driving applications. - Carlos Gómez Huélamo; Javier del Egido; Luis Miguel Bergasa; Rafael Barea; Elena López Guillén; Javier Araluce; Miguel Antunes (Multim. Tools Appl., 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)

Deep reinforcement learning based control for Autonomous Vehicles in CARLA. - Óscar Pérez-Gil; Rafael Barea; Elena López Guillén; Luis Miguel Bergasa; Carlos Gómez Huélamo; Rodrigo Gutiérrez; Alejandro Díaz (Multim. Tools Appl., 2022)

Improving Multi-Agent Motion Prediction with Heuristic Goals and Motion Refinement. - Carlos Gómez Huélamo; Marcos V. Conde; Rafael Barea; Luis Miguel Bergasa (CVPR Workshops, 2023)

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)

Efficient Context-Aware Graph Transformer for Vehicle Motion Prediction. - Carlos Gómez Huélamo; Marcos V. Conde; Rodrigo Gutiérrez-Moreno; Rafael Barea; Angel Llamazares; Miguel Antunes; Luis Miguel Bergasa (ITSC, 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)

Efficient Baselines for Motion Prediction in Autonomous Driving. - Carlos Gómez Huélamo; Marcos V. Conde; Rafael Barea; Manuel Ocaña; Luis Miguel Bergasa (IEEE Trans. Intell. Transp. Syst., 2024)