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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. 
(2.73 MB)
(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). 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).
. 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.
. Development of a multimodal imaging system based on LIDAR. . Optics and Optometry Department. Universitat Politècnica de Catalunya; 2021.
. Multimodal solid-state LiDAR for advanced perception applications. In OPTOEL. 2021.
. Geometric Model and Calibration Method for a Solid-State LiDAR. Sensors. 2020;20(10):2898.
. 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.
. SLAM-based 3D outdoor reconstructions from LIDAR data. In IC3D. Brussels, Belgium: IEEE; 2018. (3.21 MB)
(3.21 MB)