@conference {cGarcia-Gomez19,
	title = {Self-registered lidar and polarimetric images in real-time: application to detection of small objects at sea},
	booktitle = {7th Workshop on Active Imaging},
	year = {2019},
	month = {11/2019},
	publisher = {French-German Research Institute of Saint-Louis (ISL)},
	organization = {French-German Research Institute of Saint-Louis (ISL)},
	address = {Saint-Louis, France},
	author = {Pablo Garc{\'\i}a-G{\'o}mez and Jordi Riu and Casas, J. and S. Royo}
}
@conference {cCaminal18,
	title = {SLAM-based 3D outdoor reconstructions from LIDAR data},
	booktitle = {IC3D},
	year = {2018},
	month = {12/2018},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Brussels, Belgium},
	abstract = {<p>The use of depth (RGBD) cameras to reconstruct large outdoor environments is not feasible due to lighting conditions and low depth range. LIDAR sensors can be used instead. Most state of the art SLAM methods are devoted to indoor environments and depth (RGBD) cameras. We have adapted two SLAM systems to work with LIDAR data. Quantitative evaluations have been performed with LIDAR and RGBD data allowing to compare the systems. Results show that the best method with LIDAR is RTAB-Map with clear difference. Additionally, RTAB-Map has been used to create 3D reconstructions with and without the use of a visible color camera. This proves the potential of Lidar sensors for the reconstructionof outdoor environments for immersion or audiovisual production applications.</p>},
	keywords = {3D imaging, Lidar cameras, mapping, point-cloud processing, SLAM, time-of-flight},
	url = {http://www.stereopsia.com/international-conference-3d-immersion-ic3d},
	author = {I. Caminal and Casas, J. and S. Royo}
}
