Dataset construction from naturalistic driving in roundabouts Articles uri icon

publication date

  • December 2020

start page

  • 1

end page

  • 13

issue

  • 24, 7151

volume

  • 20

International Standard Serial Number (ISSN)

  • 1424-3210

Electronic International Standard Serial Number (EISSN)

  • 1424-8220

abstract

  • 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.

subjects

  • Computer Science
  • Industrial Engineering
  • Mechanical Engineering
  • Robotics and Industrial Informatics
  • Telecommunications

keywords

  • naturalistic driving; data mining; roundabout maneuvers; video and images processing; dataset