García Cuenca, LauraGuindel, CarlosAliane, NourdineArmingol, José MaríaFernández Andrés, Javier2021-01-122021-01-122020García Cuenca, L., Guindel, C., Aliane, N., Armingol, J. M., & Fernández Andrés, J. (2020). Dataset Construction from Naturalistic Driving in Roundabouts. Sensors, 20(24), 7151. https://doi.org/10.3390/s202471511424-8220http://hdl.handle.net/11268/9631A proper driver characterization in complex environments using computational techniques depends on the richness and variety of data obtained from naturalistic driving. The present article proposes the construction of a dataset from naturalistic driving specific to maneuvers in roundabouts and makes it open and available to the scientific community for performing their own studies. The dataset is a combination of data gathered from on-board instrumentation and data obtained from the post-processing of maps as well as recorded videos. The approach proposed in this paper consists of handling roundabouts as a stretch of road that includes 100 m before the entrance, the internal part, and 100 m after the exit. This stretch of road is then spatially sampled in small sections to which data are associatedengAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/journal article10.3390/s20247151open accessInteligencia artificialVehículos de motorAprendizaje automáticoMachine LearningVehiculos AutonomosProcesamiento de Imagenes