Title
Blind driving by means of a steering-based predictor algorithm
Author
Bazilinskyy, P. (TU Delft Intelligent Vehicles) 
Beaumont, Charles (Student TU Delft)
van der Geest, Xander (Student TU Delft)
de Jonge, Reinier (Student TU Delft)
van der Kroft, Koen (Student TU Delft)
de Winter, J.C.F. (TU Delft Biomechatronics & Human-Machine Control)
Contributor
Stanton, Neville A. (editor)
Date
2017
Abstract
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.
Subject
Auditory display
Driver support
Driving simulator
Human–machine interface
Road safety
To reference this document use:
http://resolver.tudelft.nl/uuid:84c9a232-52dc-4509-8966-2f34e6ab6d2a
DOI
https://doi.org/10.1007/978-3-319-60441-1_45
Publisher
Springer, Cham, Switzerland
Embargo date
2017-12-24
ISBN
978-3-319-60440-4
Source
Advances in Human Aspects of Transportation: Proceedings of the AHFE 2017 International Conference on Human Factors in Transportation, 597
Event
AHFE 2017 International Conference on Human Factors in Transportation, 2017, 2017-07-17 → 2017-07-21, Los Angeles, United States
Series
Advances in Intelligent Systems and Computing, 21945357, 597
Bibliographical note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care 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.
Part of collection
Institutional Repository
Document type
conference paper
Rights
© 2017 P. Bazilinskyy, Charles Beaumont, Xander van der Geest, Reinier de Jonge, Koen van der Kroft, J.C.F. de Winter