TY  - JOUR
PY  - 2020//
TI  - Dataset construction from naturalistic driving in roundabouts
JO  - Sensors (Basel)
A1  - García Cuenca, Laura
A1  - Guindel, Carlos
A1  - Aliane, Nourdine
A1  - Armingol, José María
A1  - Fernandez Andrés, Javier
SP  - e7151
EP  - e7151
VL  - 20
IS  - 24
N2  - A 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 associated.<p />  <p>Language: en</p>
LA  - en
SN  - 1424-8220
UR  - http://dx.doi.org/10.3390/s20247151
ID  - ref1
ER  -