Gaze detection based driver modelization in an electric vehicle using virtual force field and Steer by Wire system

Baptiste Rouzier; Toshiyuki Murakami

doi:10.1109/AMC.2014.6823307

Gaze detection based driver modelization in an electric vehicle using virtual force field and Steer by Wire system

Baptiste Rouzier, Toshiyuki Murakami

Department of System Design Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Even if the reliability of automobiles was greatly improved, number of accidents and casualties on the road remain quite high. Those incidents are most of the time due to the behaviours of drivers, which could be avoided using driving assistance. Therefore this paper proposes a new driving assistant structure, based on a virtual potential fields approach. By that mean, driver's state and intention are estimated through an analysis of facial features, and collision free trajectory detections become possible. This driving assistant is implemented in an electric vehicle using a Steer by Wire system and the validity of the proposal is verified through simulation; =.

Original language	English
Title of host publication	2014 IEEE 13th International Workshop on Advanced Motion Control, AMC 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	350-355
Number of pages	6
ISBN (Print)	9781479923243
DOIs	https://doi.org/10.1109/AMC.2014.6823307
Publication status	Published - 2014 Jan 1
Event	2014 13th IEEE International Workshop on Advanced Motion Control, AMC 2014 - Yokohama, Japan Duration: 2014 Mar 14 → 2014 Mar 16

Publication series

Name	International Workshop on Advanced Motion Control, AMC

Other

Other	2014 13th IEEE International Workshop on Advanced Motion Control, AMC 2014
Country/Territory	Japan
City	Yokohama
Period	14/3/14 → 14/3/16

Keywords

Driving Assistance
Electric Vehicle
Facial Features Analysis
Steer-by-Wire
Virtual Force Field

ASJC Scopus subject areas

Control and Systems Engineering
Modelling and Simulation
Computer Science Applications
Electrical and Electronic Engineering

Access to Document

10.1109/AMC.2014.6823307

Cite this

Rouzier, B., & Murakami, T. (2014). Gaze detection based driver modelization in an electric vehicle using virtual force field and Steer by Wire system. In 2014 IEEE 13th International Workshop on Advanced Motion Control, AMC 2014 (pp. 350-355). [6823307] (International Workshop on Advanced Motion Control, AMC). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AMC.2014.6823307

Gaze detection based driver modelization in an electric vehicle using virtual force field and Steer by Wire system. / Rouzier, Baptiste; Murakami, Toshiyuki.

2014 IEEE 13th International Workshop on Advanced Motion Control, AMC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 350-355 6823307 (International Workshop on Advanced Motion Control, AMC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Rouzier, B & Murakami, T 2014, Gaze detection based driver modelization in an electric vehicle using virtual force field and Steer by Wire system. in 2014 IEEE 13th International Workshop on Advanced Motion Control, AMC 2014., 6823307, International Workshop on Advanced Motion Control, AMC, Institute of Electrical and Electronics Engineers Inc., pp. 350-355, 2014 13th IEEE International Workshop on Advanced Motion Control, AMC 2014, Yokohama, Japan, 14/3/14. https://doi.org/10.1109/AMC.2014.6823307

Rouzier B, Murakami T. Gaze detection based driver modelization in an electric vehicle using virtual force field and Steer by Wire system. In 2014 IEEE 13th International Workshop on Advanced Motion Control, AMC 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 350-355. 6823307. (International Workshop on Advanced Motion Control, AMC). doi: 10.1109/AMC.2014.6823307

@inproceedings{25e2ebf578b7402e881f8d19e99bd9e8,

title = "Gaze detection based driver modelization in an electric vehicle using virtual force field and Steer by Wire system",

abstract = "Even if the reliability of automobiles was greatly improved, number of accidents and casualties on the road remain quite high. Those incidents are most of the time due to the behaviours of drivers, which could be avoided using driving assistance. Therefore this paper proposes a new driving assistant structure, based on a virtual potential fields approach. By that mean, driver's state and intention are estimated through an analysis of facial features, and collision free trajectory detections become possible. This driving assistant is implemented in an electric vehicle using a Steer by Wire system and the validity of the proposal is verified through simulation; =.",

keywords = "Driving Assistance, Electric Vehicle, Facial Features Analysis, Steer-by-Wire, Virtual Force Field",

author = "Baptiste Rouzier and Toshiyuki Murakami",

year = "2014",

month = jan,

day = "1",

doi = "10.1109/AMC.2014.6823307",

language = "English",

isbn = "9781479923243",

series = "International Workshop on Advanced Motion Control, AMC",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "350--355",

booktitle = "2014 IEEE 13th International Workshop on Advanced Motion Control, AMC 2014",

note = "2014 13th IEEE International Workshop on Advanced Motion Control, AMC 2014 ; Conference date: 14-03-2014 Through 16-03-2014",

}

TY - GEN

T1 - Gaze detection based driver modelization in an electric vehicle using virtual force field and Steer by Wire system

AU - Rouzier, Baptiste

AU - Murakami, Toshiyuki

PY - 2014/1/1

Y1 - 2014/1/1

N2 - Even if the reliability of automobiles was greatly improved, number of accidents and casualties on the road remain quite high. Those incidents are most of the time due to the behaviours of drivers, which could be avoided using driving assistance. Therefore this paper proposes a new driving assistant structure, based on a virtual potential fields approach. By that mean, driver's state and intention are estimated through an analysis of facial features, and collision free trajectory detections become possible. This driving assistant is implemented in an electric vehicle using a Steer by Wire system and the validity of the proposal is verified through simulation; =.

AB - Even if the reliability of automobiles was greatly improved, number of accidents and casualties on the road remain quite high. Those incidents are most of the time due to the behaviours of drivers, which could be avoided using driving assistance. Therefore this paper proposes a new driving assistant structure, based on a virtual potential fields approach. By that mean, driver's state and intention are estimated through an analysis of facial features, and collision free trajectory detections become possible. This driving assistant is implemented in an electric vehicle using a Steer by Wire system and the validity of the proposal is verified through simulation; =.

KW - Driving Assistance

KW - Electric Vehicle

KW - Facial Features Analysis

KW - Steer-by-Wire

KW - Virtual Force Field

UR - http://www.scopus.com/inward/record.url?scp=84903199948&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84903199948&partnerID=8YFLogxK

U2 - 10.1109/AMC.2014.6823307

DO - 10.1109/AMC.2014.6823307

M3 - Conference contribution

AN - SCOPUS:84903199948

SN - 9781479923243

T3 - International Workshop on Advanced Motion Control, AMC

SP - 350

EP - 355

BT - 2014 IEEE 13th International Workshop on Advanced Motion Control, AMC 2014

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 13th IEEE International Workshop on Advanced Motion Control, AMC 2014

Y2 - 14 March 2014 through 16 March 2014

ER -

Gaze detection based driver modelization in an electric vehicle using virtual force field and Steer by Wire system

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this