Blind driving by means of a steering-based predictor algorithm

Pavlo Bazilinskyy*, Charles Beaumont, Xander van der Geest, Reinier de Jonge, Koen van der Kroft, Joost De Winter

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

3 Citations (Scopus)
48 Downloads (Pure)


The aim of this work was to develop and empirically test different algorithms of a lane-keeping assistance system that supports drivers by means of a tone when the car is about to deviate from its lane. These auditory assistance systems were tested in a driving simulator with its screens shut down, so that the participants used auditory feedback only. Five participants drove with a previously published algorithm that predicted the future position of the car based on the current velocity vector, and three new algorithms that predicted the future position based on the momentary speed and steering angle. Results of a total of 5 h of driving across participants showed that, with extensive practice and knowledge of the system, it is possible to drive on a track with sharp curves for 5 min without leaving the road. Future research should aim to improve the intuitiveness of the auditory feedback.

Original languageEnglish
Title of host publicationAdvances in Human Aspects of Transportation
Subtitle of host publicationProceedings of the AHFE 2017 International Conference on Human Factors in Transportation
EditorsNeville A. Stanton
Place of PublicationCham, Switzerland
ISBN (Electronic)978-3-319-60441-1
ISBN (Print)978-3-319-60440-4
Publication statusPublished - 2017
EventAHFE 2017 International Conference on Human Factors in Transportation, 2017 - Los Angeles, United States
Duration: 17 Jul 201721 Jul 2017

Publication series

NameAdvances in Intelligent Systems and Computing
ISSN (Print)21945357


ConferenceAHFE 2017 International Conference on Human Factors in Transportation, 2017
Country/TerritoryUnited States
CityLos Angeles

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project

Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.


  • Auditory display
  • Driver support
  • Driving simulator
  • Human–machine interface
  • Road safety

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