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Author Title [ Type(Desc)] Year
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Conference Paper
Lázaro JA, Casas JR, Ruiz-Hidalgo J, Cortada-Garcia M, Martín-Pey G, Salavedra-Pujol J, et al.. 6G-EWOC: Crowdsourced SLAM Data Fusion for Safe and Efficient ADAS Driving. In IEEE Future Networks World Forum: Symposium on Future Networks for Connected and Automated Mobility . Dubai: IEEE; 2024.  (2.73 MB)
Schrenk B, Theodoropoulou E, Lyberopoulos G, Marcus C, Eriksson O, Lázaro JA, et al.. 6G-EWOC: Optical Wireless Communication in Support of Autonomous Driving. In IEEE Future Networks World Forum: Symposium on Future Networks for Connected and Automated Mobility . Dubai: IEEE; 2024.  (1.22 MB)
de-Mas-Giménez G, Subirana A, García-Gómez P, Bernal Pérez E, Riu J, Casas JR, et al.. Multimodal data acquisition prototype for autonomous driving in adverse weather conditions. In XIV Reunión OptoElectrónica (OPTOEL 2025). Terrassa, Spain: OPTOEL; 2025.  (745.34 KB)
García-Gómez P, Royo S, Rodrigo N, Casas JR, Riu J. Multimodal imaging System based on solid-State LiDAR for Advanced perception applications. In 10th International Symposium on Optronics in defence & security. Versailles, France: 3AF OPTRO2022; 2022.
de-Mas-Giménez G, Subirana A, García-Gómez P, Bernal Pérez E, Casas JR, Royo S. Multimodal sensing prototype for robust autonomous driving under adverse weather conditions. In SPIE Optical Metrology: Optical Measurement Systems for Industrial Inspection XIV. Munich, Germany: SPIE; 2025.
García-Gómez P, Rodrigo N, Riu J, Casas JR, Royo S. Multimodal solid-state LiDAR for advanced perception applications. In OPTOEL. 2021.  (786.62 KB)
de-Mas-Giménez G, Subirana A, Bernal Pérez E, Riu J, Casas JR, García-Gómez P, et al.. Preview of a multimodal data set for robust and safe autonomous driving under adverse weather conditions. In IMEKO PhotoMet - International Symposium on Modern Photonic Metrology. Modena, Italy: 11 IMEKO PhotoMet; 2025.
García-Gómez P, Riu J, Casas JR, Royo S. Self-registered lidar and polarimetric images in real-time: application to detection of small objects at sea. In 7th Workshop on Active Imaging. Saint-Louis, France: French-German Research Institute of Saint-Louis (ISL); 2019.
de-Mas-Giménez G, García-Gómez P, Casas JR, Royo S. Single image defogging and evaluation with deep neural networks without the need of ground truth. In SPIE Automated Visual Inspection and Machine Vision V. Munich: Proc. SPIE 12623; 2023.  (3.68 MB)
Theodoropoulou E, Lyberopoulos G, Setaki F, García-Gómez P, Royo S, Marcus C, et al.. Towards AI-Enhanced Fibre-Wireless Optical 6G Network in Support of Connected Mobility. In IEEE 29th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD). Athens: IEEE; 2024.  (1.13 MB)
Lázaro JA, Casas JR, Royo S, Ruiz-Hidalgo J, Fàbrega JM, Martínez R, et al.. Verifying Key Performance Indicators across Multiple 6G-EWOC Demonstrations. In European Conference on Networks and Communications (EuCNC) . Poznan, Poland: IEEE; 2025.  (333.96 KB)
Journal Article
García-Gómez P, Royo S, Rodrigo N, Casas JR. Geometric Model and Calibration Method for a Solid-State LiDAR. Sensors. 2020;20(10):2898.  (3.37 MB)
de-Mas-Giménez G, García-Gómez P, Casas JR, Royo S. Gradient-Based Metrics for the Evaluation of Image Defogging. World Electric Vehicle Journal. 2023;14(9).  (4.92 MB)
Chávez Plasencia A, García-Gómez P, Bernal Pérez E, de-Mas-Giménez G, Casas JR, Royo S. A Preliminary Study of Deep Learning Sensor Fusion for Pedestrian Detection. Sensors. 2023;23(8).  (9.94 MB)
Thesis
García-Gómez P. Development of a multimodal imaging system based on LIDAR. Royo S, Casas JR. Optics and Optometry Department. Universitat Politècnica de Catalunya; 2021.