@conference {cde-Mas-Gimenez25a,
	title = {Multimodal data acquisition prototype for autonomous driving in adverse weather conditions},
	booktitle = {XIV Reuni{\'o}n OptoElectr{\'o}nica (OPTOEL 2025)},
	year = {2025},
	month = {07/2025},
	publisher = {OPTOEL},
	organization = {OPTOEL},
	address = {Terrassa, Spain},
	abstract = {<p>Autonomous driving has made significant progress in recent years, but adverse weather conditions still remain a major challenge for perception and decision-making algorithms. This work presents a multimodal data acquisition prototype designed to enhance autonomous vehicle perception in challenging environments such as fog, heavy rain, and snow. The system is mounted on a Dacia Duster and features a diverse sensor suite including visible, Short-Wave Infra-Red, thermal, and polarimetric cameras with a solid-state LiDAR and automotive radars. The whole system is calibrated with dedicated calibration boards developed on purpose to enable data fusion across all modalities. Initial results demonstrate the effectiveness of our approach, showing that critical environmental features can be detected reliably across various weather conditions. Future work includes the release of a fully annotated multimodal dataset to support further research in adverse weather perception.</p>},
	isbn = {979-13-87613-54-9},
	doi = {10.5821/ebook-9791387613549},
	url = {https://optoel.es/2025/wp-content/uploads/2025/07/LIBRO-ACTAS-OPTOEL2025.pdf$\#$?page=403},
	author = {Gerard de-Mas-Gim{\'e}nez and Adri{\`a} Subirana and Pablo Garc{\'\i}a-G{\'o}mez and Eduardo Bernal P{\'e}rez and Jordi Riu and Casas, J. and Santiago Royo}
}
@conference {cGarcia-Gomez22,
	title = {Multimodal imaging System based on s{\`o}lid-State LiDAR for Advanced perception applications},
	booktitle = {10th International Symposium on Optronics in defence \& security},
	year = {2022},
	month = {06/2022},
	publisher = {3AF OPTRO2022},
	organization = {3AF OPTRO2022},
	address = {Versailles, France},
	url = {https://www.3af-optro.com/},
	author = {Pablo Garc{\'\i}a-G{\'o}mez and S. Royo and Noel Rodrigo and Casas, J. and Jordi Riu}
}
@conference {cGarcia-Gomez21,
	title = {Multimodal solid-state LiDAR for advanced perception applications},
	booktitle = {OPTOEL},
	year = {2021},
	month = {06/2021},
	abstract = {<p>Perception of the environment is an essential requirement for the fields of autonomous vehicles and robotics. Consequently, LiDAR imaging sensors have become crucial sen-sors for such applications due to their 3D geometry sensing capability. However, auton-omous systems claim for high amounts of data to make reliable decisions so many dif-ferent sensors are often combined. In this context, we present a multimodal imaging sys-tem based on a solid-state LiDAR combined with three other imaging sensors that pro-vides multimodal information with low parallax fusion error.</p>},
	keywords = {artificial intelligence, autonomous navigation, computer Vision, enhanced perception, robotics, sensor fusion, solid-state LiDAR},
	author = {Pablo Garc{\'\i}a-G{\'o}mez and Noel Rodrigo and Jordi Riu and Casas, J. and S. Royo}
}
