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] . 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. 
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(2.73 MB). 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)
(1.22 MB). Multimodal data acquisition prototype for autonomous driving in adverse weather conditions. In XIV Reunión OptoElectrónica (OPTOEL 2025). Terrassa, Spain: OPTOEL; 2025. (745.34 KB)
(745.34 KB). Multimodal imaging System based on sòlid-State LiDAR for Advanced perception applications. In 10th International Symposium on Optronics in defence & security. Versailles, France: 3AF OPTRO2022; 2022.
. 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.
. Multimodal solid-state LiDAR for advanced perception applications. In OPTOEL. 2021.
. 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.
. 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)
(3.68 MB). SLAM-based 3D outdoor reconstructions from LIDAR data. In IC3D. Brussels, Belgium: IEEE; 2018. (3.21 MB)
(3.21 MB). 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)
(1.13 MB). Verifying Key Performance Indicators across Multiple 6G-EWOC Demonstrations. In European Conference on Networks and Communications (EuCNC) . Poznan, Poland: IEEE; 2025. (333.96 KB)
(333.96 KB). Geometric Model and Calibration Method for a Solid-State LiDAR. Sensors. 2020;20(10):2898. (3.37 MB)
(3.37 MB). Gradient-Based Metrics for the Evaluation of Image Defogging. World Electric Vehicle Journal. 2023;14(9). (4.92 MB)
(4.92 MB). A Preliminary Study of Deep Learning Sensor Fusion for Pedestrian Detection. Sensors. 2023;23(8). (9.94 MB)
(9.94 MB). Development of a multimodal imaging system based on LIDAR. . Optics and Optometry Department. Universitat Politècnica de Catalunya; 2021.