Detection of a driver's visual attention using the online UFOV method

Mikio Danno, Juha M. Kortelainen, Matti Kutila, Masahiro Miyaji

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

3 Citations (Scopus)

Abstract

This paper investigates whether a driver's useful field of view (UFOV) can be measured during normal driving tasks without the driver being aware of the system. We were able to develop an online method to measure the driver's UFOV (oUFOV) automatically using a real car driving test, in the city of Tampere. The system was merged with two different technical solutions that estimated if the driver paid attention to the traffic objects that appeared in his or her peripheral vision. Here, the original laboratory method using a PC display was expanded to monitor the driver for much longer periods. By incorporating the oUFOV method into a driving simulation environment in Japan, we were also able to conduct safer tests for the drivers with reduced visual conditions, such as the driver's mental status change (hasty driving), and replace more accurate control parameters with simulation software in cases of risky driving scenarios.
Original languageEnglish
Title of host publication13th International IEEE Conference on Intelligent Transportation Systems
Place of PublicationPiscataway, NJ, USA
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages770-776
ISBN (Electronic)978-1-4244-7659-6
ISBN (Print)978-1-4244-7657-2, 978-1-4244-7658-9
DOIs
Publication statusPublished - 2010
MoE publication typeA4 Article in a conference publication
Event13th International IEEE Conference on Intelligent Transportation Systems, ITSC 2010 - Funchal, Madeira Island, Portugal
Duration: 19 Sep 201022 Sep 2010
Conference number: 13

Conference

Conference13th International IEEE Conference on Intelligent Transportation Systems, ITSC 2010
Abbreviated titleITSC 2010
CountryPortugal
CityFunchal, Madeira Island
Period19/09/1022/09/10

Keywords

  • UFOV
  • human factors
  • image analysis
  • HMI
  • human-machine interaction
  • machine vision
  • camera
  • driver monitoring
  • image

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