Personal profile
ShortBio
Javier Araluce received his BSc degree in 2018 in Industrial Electronics and Automation Engineering, his MSc in 2020 in Industrial Engineering, focused on Robotics and Perception and his Ph.D. in 2023 in Electronics: Advanced Electronic Systems. Intelligent Systems, from the University of Alcalá.
He is currently a research engineer in Connected, Cooperative and Automated Mobility at TECNALIA, Basque Research and Technology Alliance (BRTA). He has published several works in the main conferences and journals related to autonomous vehicles,
robotics and computer vision. His research interests include deep learning applied to scene understanding and driver attention for intelligent transport systems.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 4 Quality Education -
SDG 7 Affordable and Clean Energy -
SDG 11 Sustainable Cities and Communities
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Collaborations and top research areas from the last five years
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A Fallback Localization Algorithm for Automated Vehicles Based on Object Detection and Tracking
Arozamena, M. R., Matute, J., Araluce, J., Kuschnig, L., Pilz, C., Schratter, M., Rastelli, J. P. & Zubizarreta, A., 2025, In: IEEE Open Journal of Vehicular Technology. 6, p. 1085-1099 15 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Citations (Scopus)3 Downloads (Pure) -
An Infrastructure-Based Localization Method for Articulated Vehicles
Justo, A., Pacho, I., Araluce, J., Murgoitio, J. & Bergasa, L. M., 2025, Computer Vision – ECCV 2024 Workshops, Proceedings. Del Bue, A., Canton, C., Pont-Tuset, J. & Tommasi, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 181-197 17 p. (Lecture Notes in Computer Science; vol. 15630 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Fault Tolerance and Fallback Strategies in Connected and Automated Vehicles: A Review
Rodríguez-Arozamena, M., Matute, J., Araluce, J., Rastelli, J. P. & Zubizarreta, A., 2025, In: IEEE Open Journal of Intelligent Transportation Systems. 6, p. 915-937 23 p.Research output: Contribution to journal › Review article › peer-review
Open AccessFile3 Citations (Scopus)40 Downloads (Pure) -
Infrastructure-Based Smart Positioning System for Automated Shuttles Using 3D Object Detection
Araluce, J., Justo, A., Rodriguez-Arozamena, M., Sarabia, J., Matute, J. & Díaz, S., 2025, IV 2025 - 36th IEEE Intelligent Vehicles Symposium. Institute of Electrical and Electronics Engineers Inc., p. 482-488 7 p. (IEEE Intelligent Vehicles Symposium, Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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LFF-V2V: A Late Fusion Cooperative Framework in V2V Scenarios
Justo, A., Araluce, J., Rodriguez-Arozamena, M., Gonzalez, L. & Bergasa, L. M., 2025, IV 2025 - 36th IEEE Intelligent Vehicles Symposium. Institute of Electrical and Electronics Engineers Inc., p. 2006-2012 7 p. (IEEE Intelligent Vehicles Symposium, Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Citation (Scopus)
Thesis
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Driver Attention based on Deep Learning for a Smart Vehicle to Driver (V2D) Interaction
Araluce Ruiz, J. (Author), Bergasa Pascual (Supervisor) & Ocaña Miguel (Supervisor), 2023Doctoral thesis: Doctoral Thesis
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