Search Results - "Araluce, Javier"

Reinforcement Learning-Based Autonomous Driving at Intersections in CARLA Simulator by Gutiérrez-Moreno, Rodrigo, Barea, Rafael, López-Guillén, Elena, Araluce, Javier, Bergasa, Luis M.

“…Intersections are considered one of the most complex scenarios in a self-driving framework due to the uncertainty in the behaviors of surrounding vehicles and…”
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Driver Take-Over Behaviour Study Based on Gaze Focalization and Vehicle Data in CARLA Simulator by Araluce, Javier, Bergasa, Luis M, Ocaña, Manuel, López-Guillén, Elena, Gutiérrez-Moreno, Rodrigo, Arango, J Felipe

“…Autonomous vehicles are the near future of the automobile industry. However, until they reach Level 5, humans and cars will share this intermediate future…”
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Drive-By-Wire Development Process Based on ROS for an Autonomous Electric Vehicle by Arango, J. Felipe, Bergasa, Luis M., Revenga, Pedro A., Barea, Rafael, López-Guillén, Elena, Gómez-Huélamo, Carlos, Araluce, Javier, Gutiérrez, Rodrigo

“…This paper presents the development process of a robust and ROS-based Drive-By-Wire system designed for an autonomous electric vehicle from scratch over an…”
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Gaze Focalization System for Driving Applications Using OpenFace 2.0 Toolkit with NARMAX Algorithm in Accidental Scenarios by Araluce, Javier, Bergasa, Luis M., Ocaña, Manuel, López-Guillén, Elena, Revenga, Pedro A., Arango, J. Felipe, Pérez, Oscar

“…Monitoring driver attention using the gaze estimation is a typical approach used on road scenes. This indicator is of great importance for safe driving,…”
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Train here, drive there: ROS based end-to-end autonomous-driving pipeline validation in CARLA simulator using the NHTSA typology by Gómez-Huélamo, Carlos, Del Egido, Javier, Bergasa, Luis M., Barea, Rafael, López-Guillén, Elena, Arango, Felipe, Araluce, Javier, López, Joaquín

“…Urban complex scenarios are the most challenging situations in the field of Autonomous Driving (AD). In that sense, an AD pipeline should be tested in…”
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Leveraging Driver Attention for an End-to-End Explainable Decision-Making From Frontal Images by Araluce, Javier, Bergasa, Luis M., Ocana, Manuel, Llamazares, Angel, Lopez-Guillen, Elena

“…Explaining the decision made by end-to-end autonomous driving is a difficult task. These approaches take raw sensor data and compute the decision as a black…”
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Enhancing Motion Prediction by a Cooperative Framework by Araluce, Javier, Justo, Alberto, Arizala, Asier, Gonzalez, Leonardo, Diaz, Sergio

“…Cooperative perception is a technique that enhances the on-board sensing and perception of automated vehicles by fusing data from multiple sources, such as…”
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SimBusters: Bridging Simulation Gaps in Intelligent Vehicles Perception by Justo, Alberto, Araluce, Javier, Romera, Javier, Rodriguez-Arozamena, Mario, Gonzalez, Leonardo, Diaz, Sergio

“…Recent advances in automated vehicle technology rely heavily on simulated environments for training and testing. However, a significant challenge lies in…”
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Naturalistic Driving Study for Older Drivers based on the DriveSafe App by Bergasa, Luis M., Araluce, Javier, Romera, Eduardo, Barea, Rafael, Lopez-Guilen, Elena, Egido, Javier del, Hernanz-Mayoral, Carlos A.

“…Elderly population is increasing year after year in the developed countries. However, the knowledge of actual mobility needs of senior drivers is scarce. In…”
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360∘ real-time and power-efficient 3D DAMOT for autonomous driving applications by Gómez-Huélamo, Carlos, Del Egido, Javier, Bergasa, Luis Miguel, Barea, Rafael, López-Guillén, Elena, Araluce, Javier, Antunes, Miguel

“…Autonomous Driving (AD) promises an efficient, comfortable and safe driving experience. Nevertheless, fatalities involving vehicles equipped with Automated…”
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ARAGAN: A dRiver Attention estimation model based on conditional Generative Adversarial Network by Araluce, Javier, Bergasa, Luis M., Ocana, Manuel, Barea, Rafael, Lopez-Guillen, Elena, Revenga, Pedro

“…Predicting driver's attention in complex driving scenarios is becoming a hot topic due to it helps the design of some autonomous driving tasks, optimizing…”
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How to build and validate a safe and reliable Autonomous Driving stack? A ROS based software modular architecture baseline by Gomez-Huelamo, Carlos, Diaz-Diaz, Alejandro, Araluce, Javier, Ortiz, Miguel E., Gutierrez, Rodrigo, Arango, Felipe, Llamazares, Angel, Bergasa, Luis M.

“…The implementation of Autonomous Driving stacks (ADS) is one of the most challenging engineering tasks of our era. Autonomous Vehicles (AVs) are expected to be…”
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Validation Method of a Self-Driving Architecture for Unexpected Pedestrian Scenario in CARLA Simulator by Gutierrez, Rodrigo, Arango, J. Felipe, Gomez-Huelamo, Carlos, Bergasa, Luis M., Barea, Rafael, Araluce, Javier

“…This paper introduces a method to validate autonomous navigation frameworks, in simulation using CARLA Simulator, fulfilling the requirements of the Euro-NCAP…”
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