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

doi:10.1007/978-3-319-60441-1_45

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 volume › Conference contribution › Scientific › peer-review

3 Citations (Scopus)

48 Downloads (Pure)

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.

Original language	English
Title of host publication	Advances in Human Aspects of Transportation
Subtitle of host publication	Proceedings of the AHFE 2017 International Conference on Human Factors in Transportation
Editors	Neville A. Stanton
Place of Publication	Cham, Switzerland
Publisher	Springer
Pages	457-466
Volume	597
ISBN (Electronic)	978-3-319-60441-1
ISBN (Print)	978-3-319-60440-4
DOIs	https://doi.org/10.1007/978-3-319-60441-1_45
Publication status	Published - 2017
Event	AHFE 2017 International Conference on Human Factors in Transportation, 2017 - Los Angeles, United States Duration: 17 Jul 2017 → 21 Jul 2017

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	597
ISSN (Print)	21945357

Conference

Conference	AHFE 2017 International Conference on Human Factors in Transportation, 2017
Country/Territory	United States
City	Los Angeles
Period	17/07/17 → 21/07/17

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.

Keywords

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

Access to Document

10.1007/978-3-319-60441-1_45

Bazilinskyy2018_Chapter_BlindDrivingByMeansOfASteeringFinal published version, 855 KB

Cite this

Bazilinskyy, P., Beaumont, C., van der Geest, X., de Jonge, R., van der Kroft, K., & De Winter, J. (2017). Blind driving by means of a steering-based predictor algorithm. In N. A. Stanton (Ed.), Advances in Human Aspects of Transportation : Proceedings of the AHFE 2017 International Conference on Human Factors in Transportation (Vol. 597, pp. 457-466). (Advances in Intelligent Systems and Computing; Vol. 597). Springer. https://doi.org/10.1007/978-3-319-60441-1_45

Bazilinskyy, Pavlo ; Beaumont, Charles ; van der Geest, Xander et al. / Blind driving by means of a steering-based predictor algorithm. Advances in Human Aspects of Transportation : Proceedings of the AHFE 2017 International Conference on Human Factors in Transportation. editor / Neville A. Stanton. Vol. 597 Cham, Switzerland : Springer, 2017. pp. 457-466 (Advances in Intelligent Systems and Computing).

@inproceedings{84c9a23252dc450989662f34e6ab6d2a,

title = "Blind driving by means of a steering-based predictor algorithm",

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.",

keywords = "Auditory display, Driver support, Driving simulator, Human–machine interface, Road safety",

author = "Pavlo Bazilinskyy and Charles Beaumont and {van der Geest}, Xander and {de Jonge}, Reinier and {van der Kroft}, Koen and {De Winter}, Joost",

note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – 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.; AHFE 2017 International Conference on Human Factors in Transportation, 2017 ; Conference date: 17-07-2017 Through 21-07-2017",

year = "2017",

doi = "10.1007/978-3-319-60441-1_45",

language = "English",

isbn = "978-3-319-60440-4",

volume = "597",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "457--466",

editor = "Stanton, {Neville A.}",

booktitle = "Advances in Human Aspects of Transportation",

address = "Germany",

}

Bazilinskyy, P, Beaumont, C, van der Geest, X, de Jonge, R, van der Kroft, K & De Winter, J 2017, Blind driving by means of a steering-based predictor algorithm. in NA Stanton (ed.), Advances in Human Aspects of Transportation : Proceedings of the AHFE 2017 International Conference on Human Factors in Transportation. vol. 597, Advances in Intelligent Systems and Computing, vol. 597, Springer, Cham, Switzerland, pp. 457-466, AHFE 2017 International Conference on Human Factors in Transportation, 2017, Los Angeles, United States, 17/07/17. https://doi.org/10.1007/978-3-319-60441-1_45

Blind driving by means of a steering-based predictor algorithm. / Bazilinskyy, Pavlo; Beaumont, Charles; van der Geest, Xander et al.

Advances in Human Aspects of Transportation : Proceedings of the AHFE 2017 International Conference on Human Factors in Transportation. ed. / Neville A. Stanton. Vol. 597 Cham, Switzerland : Springer, 2017. p. 457-466 (Advances in Intelligent Systems and Computing; Vol. 597).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Blind driving by means of a steering-based predictor algorithm

AU - Bazilinskyy, Pavlo

AU - Beaumont, Charles

AU - van der Geest, Xander

AU - de Jonge, Reinier

AU - van der Kroft, Koen

AU - De Winter, Joost

N1 - 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.

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - Auditory display

KW - Driver support

KW - Driving simulator

KW - Human–machine interface

KW - Road safety

UR - http://www.scopus.com/inward/record.url?scp=85022338337&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-60441-1_45

DO - 10.1007/978-3-319-60441-1_45

M3 - Conference contribution

SN - 978-3-319-60440-4

VL - 597

T3 - Advances in Intelligent Systems and Computing

SP - 457

EP - 466

BT - Advances in Human Aspects of Transportation

A2 - Stanton, Neville A.

PB - Springer

CY - Cham, Switzerland

T2 - AHFE 2017 International Conference on Human Factors in Transportation, 2017

Y2 - 17 July 2017 through 21 July 2017

ER -

Bazilinskyy P, Beaumont C, van der Geest X, de Jonge R, van der Kroft K, De Winter J. Blind driving by means of a steering-based predictor algorithm. In Stanton NA, editor, Advances in Human Aspects of Transportation : Proceedings of the AHFE 2017 International Conference on Human Factors in Transportation. Vol. 597. Cham, Switzerland: Springer. 2017. p. 457-466. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-60441-1_45

Blind driving by means of a steering-based predictor algorithm

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Supplementary material for Blind Driving papers

Supplementary material for Blind Driving papers

Cite this

Blind driving by means of a steering-based predictor algorithm

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Datasets

Supplementary material for Blind Driving papers

Supplementary material for Blind Driving papers

Cite this